Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in ...

Fulltime Ai Machine Learning Data Science

Fully remote

View details

In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in ...

Fulltime Ai Machine Learning Data Science

Fully remote

View details

The Opportunity We’re seeking a passionate Data Scientist to own the end-to-end implementation and design of data sci...

Data Science Ai

Fully remote

View details

We have an exciting opportunity for a highly motivated Data Scientist Assistant to join the Oxford Vaccine Group (OVG...

Fulltime Ai Data Science

Fully remote

View details

Studieniveau Master (universitair of hoger onderwijs van het lange type) Graad ICT-Adviseur - A3 Plaats van tewerkste...

Machine Learning Data Science Ai

$129k* · Senior Fully remote

View details

Den Haag Hbo bachelor 32 - 36 uur schaal 11 / €4.024,11 - €6.110,94 (bruto) Onderzoek / wetenschap Solliciteer voor 3...

Parttime Fulltime Ai Data Science

Fully remote

View details

Lead ML-driven traffic prediction systems powering Uber's global ETA accuracy (impacts millions of trips daily). Buil...

Fulltime Machine Learning Deep Learning Pytorch

$100k* · Senior Fully remote

View details

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're buil...

Fulltime Computer Vision Robotics Ai

$800k* · Senior Fully remote

View details

C.H. Robinson is seeking a Senior Machine Learning Engineer to help build robust, scalable systems that empower our d...

Fulltime Machine Learning Data Science Ai

Fully remote

View details

Join RSSB as Lead Data Scientist and drive innovation by introducing new tools and frameworks, inspiring a culture of...

Fulltime Machine Learning Data Science Ai

Fully remote

View details

Centrical provides an employee-centric success platform that holistically navigates employees, turn-by-turn, to succe...

Machine Learning Data Science Data Engineer Ai

Fully remote

View details

Data Scientist for Defence decision-support tool Could you see yourself develop high-quality machine learning models ...

Machine Learning Data Science Mlops Ai

Fully remote

View details

Si ricercano candidati con profilo professionale di AI Agent Solutions Specialist / AI Engineer, per le sedi di Pisa,...

Ai Ai Engineer Generative Ai

$42k* · Senior Fully remote

View details

REQ-10108952 11/02/2026 IT Engineering Amsterdam, Nederland €5.485,70 - €8.828,03 ING Bank Making a difference with o...

Fully remote

View details

Who are Benifex? We are a fast-moving technology company, and one of the most successful providers of online reward a...

Data Science Data Engineer Ai

$88k - $114k* · Senior Fully remote

View details

& Summary PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into oppo...

Fulltime Remote Ai Engineer Ai

$370k* · Senior Fully remote

View details

We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into ef...

Fulltime Ai Deep Learning Robotics

$221k* · Senior Fully remote

View details

The Role The company BBD is an international custom software solutions company that solves real-world problems with i...

Ai Engineer Data Science Ai

Fully remote

View details

About the AI Studio The AI Studio's mission is to find the fastest possible path to an autonomous supply chain. We're...

Fulltime Ai Ai Engineer Robotics

Fully remote

View details

Beamy détecte l'usage réel de 50K+ applications chez 500K+ utilisateurs dans les grandes entreprises, grâce à une ext...

Ai Engineer Ai

$50k* · Senior Fully remote

View details

Selected role

Senior Machine Learning Engineer (Platform) - Bristol

Digilab Solutions Bristol, ENG, GB

Senior Full-time

In a world of immense uncertainty, digiLab is a pioneering AI company that empowers governments and organisations in safety-critical or highly regulated industries to solve critical, complex, and high-stakes challenges using machine learning and uncertainty quantification.

From forging a path to clean energy to life-saving medical diagnostics and beyond, making critical decisions with unwavering confidence is difficult, especially when data is complex, sparse, or incomplete. This is where digiLab's expertise shines through.

Our trustworthy and explainable AI platform, The Uncertainty Engine, supported by our team of machine learning specialists and data scientists, enables decision-makers to accelerate innovation, reduce the risk of failure, turn insight into action, and deliver greater value through more informed and confident decisions.

Summary:

The Senior Machine Learning Engineer (Platform) is a full-time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digiLab's core product, The Uncertainty Engine. It sits at the intersection of probabilistic machine learning, uncertainty quantification, and large-scale scientific software, with a strong focus on Python development within a fast-paced, collaborative, and dynamic engineering environment.

The role:

As a Senior Machine Learning Engineer (Platform) at digiLab, you will be responsible for:

Collaborating with a cross-functional team of engineers, scientists to help lead on the design, development, and maintenance of high-quality software solutions
Collaborate with product management to translate business requirements into technical solutions
Contribute to architectural design, development, testing, and deployment of productionised probabilistic machine learning models and uncertainty quantification techniques
Build abstractions and APIs for probabilistic modelling, inference, and uncertainty propagation within The Uncertainty Engine
Support experimentation with amortised inference and surrogate models for expensive simulators
Optimise and scale Monte Carlo–based methods
Utilise expertise in AWS, Python, MongoDB, and other relevant technologies to build scalable, systems
Foster a collaborative, learning-oriented environment within the team
Champion “Scrum” and contribute to team process improvements
Provide technical support and lead incident investigations

*Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.

Required Skills & Experience:**

Demonstrable experience of developing machine learning software solutions with Python
Experience with probabilistic and statistical machine learning, including Bayesian methods, Monte Carlo techniques, and uncertainty-aware modelling
Familiarity with scientific Python libraries like NumPy, SciPy, and Pandas
Familiarity with machine learning libraries such as PyTorch and scikit-learn
Experience with DevOps and MLOps
Degree-level qualification in computer science or related field
Professional experience with collaborative software development
Familiarity with Linux, bash, and the command line
Ability to write logical, consistent, self-explanatory code
Understanding of software design patterns, SOLID and DRY principles, and architectural patterns
Experience with Git/GitHub and best practices
Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end)
Experience with Docker and other containerization platforms
Proven ability to collaborate in a fast-paced "agile" team, preferably using "scrum"

In addition, some ‘nice to haves' are:

A Master's-level qualification in a STEM field
Experience deploying infrastructure as code
Experience with UI/UX design principles
Familiarity with normalising flows and/or variational autoencoders
Publications in physics, engineering, or other simulation-heavy domains

Location:

On site.

As an ambitious, rapidly-growing start-up, we're looking for proactive, adaptable people who thrive in a fast-paced environment. Our standard working hours are 9.00–5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.

Our Culture and Values

At digiLab, we prioritise work-life balance with a 4-day workweek (Monday to Thursday), offering a full-time salary and three-day weekends every week! Our team is built on strong connections, with regular socials like game nights, bouldering, and paddleboarding.

We foster a culture of innovation, trust, and collaboration. Our values include:

Creativity & Agility: Encouraging innovation and flexibility in goal achievement.
Trust & Responsibility: Supporting each other in taking calculated risks for bold innovation.
Open & Honest Collaboration: Ensuring transparent communication and alignment.
High-Performance Standards: Continuously challenging ourselves to excel in delivery.
Value-Driven Work: Regularly assessing our contributions toward company goals.

Benefits:

We value enthusiasm and loyalty, and we're committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including:

4-day working week
Competitive Salary
BUPA private health care (via salary sacrifice)
Company Cashplan
Cycle to work scheme
Referral Program
Company Events
Discretionary EMI scheme (eligible to be considered after one year with the company; participation is not guaranteed and is entirely at the company's discretion.)

Equal Opportunities:

digiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously.

Final Note:

We aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. The information you provide will be stored and used in line with our Privacy Notice.

Showing 2761–2780 of 4,332 AI roles

1 … 137 138 140 141 217

Find your next AI role

Senior Machine Learning Engineer (Platform) - Bristol

Senior Machine Learning Engineer (Platform) - Exeter

Senior Data Scientist

Data Scientist Assistant

Data scientist (ML engineer)

Data Scientist - Expert AI

Machine Learning Engineer - Maps

Computer Vision Engineer (All levels)

Senior Machine Learning Engineer

Lead Data Scientist

Data Scientist - ML Data Engineering

Data Scientist

AI Agent Solutions Specialist / AI Engineer

AI Prompt Engineer

Senior Data Scientist

AI Engineer

Senior Deep Learning Engineer

AI Engineer (NL26)

AI Engineer - Reinforcement Learning

AI Engineer