Referso Jobs

AI Engineer

AJAIA · Posted Nov 9, 2026

Remote
Remote
Full-time · Mid
$13K–$13K per year
2–5 years

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Build AI‑enabled software across client engagements and internal product initiatives, owning features from concept to deployment.

Compensation

USD 12,500 per year base salary + Performance Bonus

Responsibilities

Own AI‑enabled features end to end for client delivery systems, internal platforms, and products
Work across frontend implementation, backend logic, API design, and database operations
Build and integrate AI capabilities into production systems: LLM APIs, prompt workflows, retrieval (RAG), agents, and automation
Set up and maintain the infrastructure your features run on: cloud services, environments, and configuration
Own deployments for your features: CI/CD pipelines, releases, rollbacks, and environment management

Requirements

Nice to have: Experience shipping AI features to production users
Nice to have: Familiarity with frameworks such as LangChain, vector databases, or LLM evaluation
Nice to have: Experience working in startup, consultancy, or fast‑iteration environments

Skills

React Next.js Python FastAPI Node.js PostgreSQL MySQL AWS Google Cloud Platform Docker GitHub Actions OAuth JWT OWASP AI tools LangChain vector databases LLM evaluation

Benefits

Professional development opportunities
Paid time off

See full job description

Postdoctoral Fellow

Meharry Medical College · Posted Jul 6, 2026

Open

Nashville, Tennessee, United States
On-site
Full-time

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The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases.

Responsibilities

Computational and statistical analysis of genomic and biomedical data
Development of AI/ML methods and bioinformatics pipelines
Manuscript preparation, presentations, and grant support
Mentoring and training students

Requirements

Ph.D. in Bioinformatics
Computational Biology
Computer Science
Data Science
Statistics

Skills

high-performance computing machine learning Python R scientific computing

See full job description

Senior Manager, Data Analytics

Sargent-Disc · Posted Sep 8, 2026

Open

Remote, United States
Remote
Senior
$180K–$200K per year
10+ years

Apply with RefersoAI Apply on careers page

Lead the enterprise analytics organization, delivering trusted business intelligence, operational reporting, executive dashboards, and advanced analytical solutions.

Compensation

The compensation range for this position is: $180,000.00 - $200,000.00 per year.

Responsibilities

Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics

Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
Nice to have: Python
Nice to have: R
Nice to have: Statistical analysis
Nice to have: Forecasting

Benefits

Medical
Dental
Vision
PTO
health and wellness programs

See full job description

Technical Animator

Cloud Imperium Games · Posted Jul 13, 2026

Open

Manchester, Greater Manchester, United Kingdom
On-site
Full-time · Senior

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Join an industry-leading team of veterans building the pinnacle of animation pipelines and technologies. As a Technical Animator III, you'll bridge the gap between technical innovation and creative expression.

Responsibilities

Support cutting-edge animation pipelines and tools that empower multiple animation teams.
Collaborate with cross-functional teams to bring characters and vehicles from concept to polished in-game implementation in StarEngine.
Implement character interaction systems, transitions, and behaviours that delight players.

Skills

Maya animation and rigging systems Python Commercial game engine experience Maya

See full job description

Postdoctoral Researcher in uncertainty quantification and prediction reliability

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
Contract
$77K–$126K per year
0–3 years

Apply with RefersoAI Apply on careers page

Compensation

Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop methods to quantify uncertainty in cross‑scale prediction models
Identify when a model is operating beyond reliable conditions
Conduct original methods research to address uncertainty challenges
Evaluate predictions outside the training domain
Collaborate with multidisciplinary teams and contribute to software development

Requirements

Skills

statistical modeling Bayesian methods probabilistic modeling uncertainty propagation aleatoric and epistemic uncertainty estimation model‑form or structural uncertainty out‑of‑distribution detection distributionally robust methods model discrepancy and structural uncertainty extrapolation safety assessment Python Julia R version control software Git

Benefits

medical insurance
dental insurance
vision insurance
short‑term disability insurance
pension benefits

See full job description

Postdoctoral Researcher in Scientific Machine Learning and Cross-scale Predictive Modeling

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
On-site
Contract · Entry
$77K–$126K per year

Apply with RefersoAI Apply on careers page

Pursue a cross-disciplinary research project in cross-scale learning from heterogeneous evidence (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.

Compensation

Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop methods that combine evidence across different experimental scales, conditions, and modalities to make predictions at unseen physical or operational scales.
Develop innovative learning methods, including multi-modal and surrogate modeling approaches, transfer learning techniques, physics-informed ML, and/or statistical learning methods.
Work in multi-disciplinary teams and collaborative software development.

Requirements

PhD (within the last three years)

Skills

ML model development for scientific or engineering systems Learning from one set of conditions/domains and predicting in another Combining data with different modalities and resolutions Physics-informed and hybrid modeling Model representation and adaptation python Version control Communication

Benefits

medical insurance
dental insurance
vision insurance
short-term disability insurance
pension benefits

See full job description

Postdoctoral Researcher in Numerical Optimization and Experimental Design

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
On-site
Full-time · Mid
$77K–$126K per year
0–3 years

Apply with RefersoAI Apply on careers page

The researcher will pursue a cross-disciplinary research project in optimization and adaptive experimental design for cross-scale scientific applications (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.

Compensation

Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop optimization and sampling methods that leverage predictions from models trained on cross-scale heterogeneous evidence.
Develop sampling strategies to determine which experiments to run, measurements to collect, or operating conditions to use.
Develop original methodologies in numerical optimization, optimal experimental design, active learning, Bayesian optimization, sequential decision-making, and information theory.
Address adaptive sampling and surrogate-based optimization and statistical design of experiments.
Handle challenges arising from noisy, messy, missing, or sparse data.

Requirements

PhD
Nice to have: self-motivated
Nice to have: creative
Nice to have: independent thinker
Nice to have: open-minded

Skills

numerical optimization optimal experimental design active learning Bayesian optimization sequential decision-making information theory adaptive sampling surrogate-based optimization statistical design of experiments scientific computing machine learning AI python version control

Benefits

medical insurance
dental insurance
vision insurance
short-term disability insurance
pension benefits

See full job description

AI Engineer I

RepliGen Corporation · Posted Nov 9, 2026

Open

Waltham, Massachusetts, United States
Entry
$130K–$160K per year
3+ years

Apply with RefersoAI Apply on careers page

AI Engineer I

Compensation

The estimated salary range for this role, based in the United States of America is $130,000-$160,000. Compensation decisions are dependent on several factors including, but not limited to an individual's qualifications, location, internal equity, and alignment with market data. Additionally, employees are eligible to participate in one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.

Responsibilities

Build and orchestrate multi-agent AI systems using state-of-the-art platforms, enabling agents to collaborate on task planning, data retrieval, and execution across complex business workflows.
Implement and continuously refine prompt engineering strategies, including prompt chaining, evaluation, and guardrails to improve accuracy and reliability
Build and maintain RAG (Retrieval-Augmented Generation) pipelines, including Data ingestion and indexing, Embedding generation, Retrieval optimization & Response grounding and validation
Development of scalable backend services using Python frameworks for data processing
Design and manage embedding pipelines and vector search infrastructure using tools such as Pinecone, FAISS, Weaviate, Databricks or Snowflake

Requirements

Bachelor’s degree in computer science, Statistics, Data Science, Information Systems or related field

Benefits

paid time off
health/dental/vision
retirement benefits
flexible spending accounts

See full job description

Consumption Data Analyst

Anglian Water Services · Posted Nov 9, 2026

Open

Huntingdon, England, United Kingdom
Hybrid
Full-time
£34K–£34K per year

Apply with RefersoAI Apply on careers page

Demand Reporting Data Analyst to join Anglian Water's Strategic Asset Management team and help shape how consumption data is understood, reported and used across the business.

Compensation

Circa £34,231 (depending on Skills & Experience)

Responsibilities

Work proactively with stakeholders to understand their reporting and analysis needs, identifying where analytics can add value to consumption reporting and business decisions.
Keep stakeholders informed, agree clear expectations and manage the delivery of analytics products.
Source relevant data using your stakeholder network, data catalogues and data architecture models, supporting improvements to data quality where needed.
Cleanse, combine and analyse datasets using relevant analytical tools such as SQL, Power BI and Excel, applying an understanding of data modelling practices and reverse engineering existing models where required.
Create compelling reports, dashboards and visuals, applying user experience principles to make complex consumption data understandable and useful.

Requirements

Nice to have: Python
Nice to have: DAX
Nice to have: smart meters
Nice to have: meter reading
Nice to have: time series data

Skills

SQL Power BI Excel data modelling data visualization stakeholder management analytical skills Python DAX

Benefits

26 days annual leave plus bank holidays
Flexible working options
Private health care
Competitive pension scheme - Anglian Water double-matches contributions up to 7%
Life assurance at eight times your salary

See full job description

Demand Reporting Data Scientist

Anglian Water Services · Posted Nov 9, 2026

Open

Huntingdon, England, United Kingdom +1 more
Hybrid
Full-time
£43K–£43K per year

Apply with RefersoAI Apply on careers page

Locations (2)

Huntingdon, England, United Kingdom
Peterborough, England, United Kingdom

Compensation

Circa £43,344 (depending on Skills & Experience)

Responsibilities

Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance
Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting
Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting
Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems

Requirements

Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience
Nice to have: Microsoft Azure
Nice to have: Databricks
Nice to have: DevOps
Nice to have: Agile

Skills

Python SQL statistical analysis predictive modelling machine learning Power BI data pipelines data engineering collaboration Microsoft Azure Databricks

Benefits

26 days annual leave plus bank holidays
Flexible working options
Private health care
Competitive pension scheme - Anglian Water double-matches contributions up to 7%
Life assurance at eight times your salary

See full job description

AI Engineer

AJAIA · Posted Nov 9, 2026

Open

Remote
Remote
Full-time · Mid
$13K–$13K per year
2–5 years

Apply with RefersoAI Apply on careers page

Build AI‑enabled software across client engagements and internal product initiatives, owning features from concept to deployment.

Compensation

USD 12,500 per year base salary + Performance Bonus

Responsibilities

Own AI‑enabled features end to end for client delivery systems, internal platforms, and products
Work across frontend implementation, backend logic, API design, and database operations
Build and integrate AI capabilities into production systems: LLM APIs, prompt workflows, retrieval (RAG), agents, and automation
Set up and maintain the infrastructure your features run on: cloud services, environments, and configuration
Own deployments for your features: CI/CD pipelines, releases, rollbacks, and environment management

Requirements

Nice to have: Experience shipping AI features to production users
Nice to have: Familiarity with frameworks such as LangChain, vector databases, or LLM evaluation
Nice to have: Experience working in startup, consultancy, or fast‑iteration environments

Skills

React Next.js Python FastAPI Node.js PostgreSQL MySQL AWS Google Cloud Platform Docker GitHub Actions OAuth JWT OWASP AI tools LangChain vector databases LLM evaluation

Benefits

Professional development opportunities
Paid time off

See full job description

Postdoctoral Fellow

Meharry Medical College · Posted Jul 6, 2026

Open

Nashville, Tennessee, United States
On-site
Full-time

Apply with RefersoAI Apply on careers page

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases.

Responsibilities

Computational and statistical analysis of genomic and biomedical data
Development of AI/ML methods and bioinformatics pipelines
Manuscript preparation, presentations, and grant support
Mentoring and training students

Requirements

Ph.D. in Bioinformatics
Computational Biology
Computer Science
Data Science
Statistics

Skills

high-performance computing machine learning Python R scientific computing

See full job description

Senior Manager, Data Analytics

Sargent-Disc · Posted Sep 8, 2026

Open

Remote, United States
Remote
Senior
$180K–$200K per year
10+ years

Apply with RefersoAI Apply on careers page

Lead the enterprise analytics organization, delivering trusted business intelligence, operational reporting, executive dashboards, and advanced analytical solutions.

Compensation

The compensation range for this position is: $180,000.00 - $200,000.00 per year.

Responsibilities

Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics

Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
Nice to have: Python
Nice to have: R
Nice to have: Statistical analysis
Nice to have: Forecasting

Benefits

Medical
Dental
Vision
PTO
health and wellness programs

See full job description

Technical Animator

Cloud Imperium Games · Posted Jul 13, 2026

Open

Manchester, Greater Manchester, United Kingdom
On-site
Full-time · Senior

Apply with RefersoAI Apply on careers page

Responsibilities

Support cutting-edge animation pipelines and tools that empower multiple animation teams.
Collaborate with cross-functional teams to bring characters and vehicles from concept to polished in-game implementation in StarEngine.
Implement character interaction systems, transitions, and behaviours that delight players.

Skills

Maya animation and rigging systems Python Commercial game engine experience Maya

See full job description

Postdoctoral Researcher in uncertainty quantification and prediction reliability

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
Contract
$77K–$126K per year
0–3 years

Apply with RefersoAI Apply on careers page

Compensation

Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop methods to quantify uncertainty in cross‑scale prediction models
Identify when a model is operating beyond reliable conditions
Conduct original methods research to address uncertainty challenges
Evaluate predictions outside the training domain
Collaborate with multidisciplinary teams and contribute to software development

Requirements

Skills

Benefits

medical insurance
dental insurance
vision insurance
short‑term disability insurance
pension benefits

See full job description

Postdoctoral Researcher in Scientific Machine Learning and Cross-scale Predictive Modeling

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
On-site
Contract · Entry
$77K–$126K per year

Apply with RefersoAI Apply on careers page

Pursue a cross-disciplinary research project in cross-scale learning from heterogeneous evidence (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.

Compensation

Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop methods that combine evidence across different experimental scales, conditions, and modalities to make predictions at unseen physical or operational scales.
Develop innovative learning methods, including multi-modal and surrogate modeling approaches, transfer learning techniques, physics-informed ML, and/or statistical learning methods.
Work in multi-disciplinary teams and collaborative software development.

Requirements

PhD (within the last three years)

Skills

Benefits

medical insurance
dental insurance
vision insurance
short-term disability insurance
pension benefits

See full job description

Postdoctoral Researcher in Numerical Optimization and Experimental Design

National Laboratory of the Rockies · Posted Nov 9, 2026

Open

Golden, Colorado, United States
On-site
Full-time · Mid
$77K–$126K per year
0–3 years

Apply with RefersoAI Apply on careers page

Compensation

Annual Salary Range: $76,600 - $126,400

Responsibilities

Develop optimization and sampling methods that leverage predictions from models trained on cross-scale heterogeneous evidence.
Develop sampling strategies to determine which experiments to run, measurements to collect, or operating conditions to use.
Develop original methodologies in numerical optimization, optimal experimental design, active learning, Bayesian optimization, sequential decision-making, and information theory.
Address adaptive sampling and surrogate-based optimization and statistical design of experiments.
Handle challenges arising from noisy, messy, missing, or sparse data.

Requirements

PhD
Nice to have: self-motivated
Nice to have: creative
Nice to have: independent thinker
Nice to have: open-minded

Skills

Benefits

medical insurance
dental insurance
vision insurance
short-term disability insurance
pension benefits

See full job description

AI Engineer I

RepliGen Corporation · Posted Nov 9, 2026

Open

Waltham, Massachusetts, United States
Entry
$130K–$160K per year
3+ years

Apply with RefersoAI Apply on careers page

AI Engineer I

Compensation

Responsibilities

Build and orchestrate multi-agent AI systems using state-of-the-art platforms, enabling agents to collaborate on task planning, data retrieval, and execution across complex business workflows.
Implement and continuously refine prompt engineering strategies, including prompt chaining, evaluation, and guardrails to improve accuracy and reliability
Build and maintain RAG (Retrieval-Augmented Generation) pipelines, including Data ingestion and indexing, Embedding generation, Retrieval optimization & Response grounding and validation
Development of scalable backend services using Python frameworks for data processing
Design and manage embedding pipelines and vector search infrastructure using tools such as Pinecone, FAISS, Weaviate, Databricks or Snowflake

Requirements

Bachelor’s degree in computer science, Statistics, Data Science, Information Systems or related field

Benefits

paid time off
health/dental/vision
retirement benefits
flexible spending accounts

See full job description

Consumption Data Analyst

Anglian Water Services · Posted Nov 9, 2026

Open

Huntingdon, England, United Kingdom
Hybrid
Full-time
£34K–£34K per year

Apply with RefersoAI Apply on careers page

Demand Reporting Data Analyst to join Anglian Water's Strategic Asset Management team and help shape how consumption data is understood, reported and used across the business.

Compensation

Circa £34,231 (depending on Skills & Experience)

Responsibilities

Work proactively with stakeholders to understand their reporting and analysis needs, identifying where analytics can add value to consumption reporting and business decisions.
Keep stakeholders informed, agree clear expectations and manage the delivery of analytics products.
Source relevant data using your stakeholder network, data catalogues and data architecture models, supporting improvements to data quality where needed.
Cleanse, combine and analyse datasets using relevant analytical tools such as SQL, Power BI and Excel, applying an understanding of data modelling practices and reverse engineering existing models where required.
Create compelling reports, dashboards and visuals, applying user experience principles to make complex consumption data understandable and useful.

Requirements

Nice to have: Python
Nice to have: DAX
Nice to have: smart meters
Nice to have: meter reading
Nice to have: time series data

Skills

SQL Power BI Excel data modelling data visualization stakeholder management analytical skills Python DAX

Benefits

26 days annual leave plus bank holidays
Flexible working options
Private health care
Competitive pension scheme - Anglian Water double-matches contributions up to 7%
Life assurance at eight times your salary

See full job description

Demand Reporting Data Scientist

Anglian Water Services · Posted Nov 9, 2026

Open

Huntingdon, England, United Kingdom +1 more
Hybrid
Full-time
£43K–£43K per year

Apply with RefersoAI Apply on careers page

Locations (2)

Huntingdon, England, United Kingdom
Peterborough, England, United Kingdom

Compensation

Circa £43,344 (depending on Skills & Experience)

Responsibilities

Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance
Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting
Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting
Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems

Requirements

Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience
Nice to have: Microsoft Azure
Nice to have: Databricks
Nice to have: DevOps
Nice to have: Agile

Skills

Python SQL statistical analysis predictive modelling machine learning Power BI data pipelines data engineering collaboration Microsoft Azure Databricks

Benefits

26 days annual leave plus bank holidays
Flexible working options
Private health care
Competitive pension scheme - Anglian Water double-matches contributions up to 7%
Life assurance at eight times your salary

See full job description

Python (FastAPI) jobs

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