Explore AI roles · Updated daily

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

Keyboard friendly Save and share roles

Machine Learning Engineer - (Senior IC) Location: London, Bristol, Edinburgh Salary: £75,200 - £103,400 Reporting to:...

Machine Learning Data Science Ai

$95k - $131k* · Senior Fully remote

View details

Your Team Responsibilities: We're seeking an exceptional Principal AI Engineer to join our AI team and shape the deve...

Fulltime Ai Ai Engineer

$136k - $177k · Senior Fully remote

View details

NextPort.AI as Technology & Innovation brand of Moffatt & Nichol, which has specialized in large complex waterfront i...

Fulltime Ai Ai Engineer Data Science

Fully remote

View details

Bei ABB unterstützen wir Industrien dabei, effizienter und nachhaltiger zu werden. Fortschritt ist bei uns keine Opti...

Fulltime Ai Data Science Data Engineer

Fully remote

View details

Functieomschrijving Ben jij klaar om AI‑oplossingen te ontwikkelen die échte waarde creëren in een organisatie die in...

Ai Data Science Generative Ai

Fully remote

View details

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping markete...

Remote Machine Learning Data Science Ai

Fully remote

View details

Dans le cadre de sa feuille de route en intelligence artificielle, ce client s'engage à développer et accélérer l?int...

Machine Learning Deep Learning Data Science Nlp

Fully remote

View details

Position Description: Join a transformative federal technology initiative and help build AI-driven solutions that mod...

Ai Ai Engineer Machine Learning Nlp

$80k - $198k · Senior Fully remote

View details

All4bit è una società di consulenza informatica, giovane, dinamica ed in forte crescita sul mercato, con sede a Torin...

Fulltime Remote Ai Machine Learning

$30k* · Senior Fully remote

View details

: The AI Engineer will support the International Trade Administration (ITA) AI Center of Excellence (AI-CoE) by deliv...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

This position is hybrid in Peachtree Corners, Georgia and sits within our Product Development division, which develop...

Fulltime Remote Ai Machine Learning

Fully remote

View details

Job ID: 13564 Location: Newport News, VA Category: Computer Division: CST Position Type: Regular Education: Bachelor'...

Fulltime Remote Machine Learning Data Science

$89k - $159k · Senior Fully remote

View details

Descriptif du poste Oney est une banque différente et unique, née du commerce. Guidés par nos valeurs, Liberté, Respe...

Machine Learning Data Science Ai

Fully remote

View details

Bei der SII Group Germany sind es nicht nur Ideen oder Technologien, die uns voranbringen – es sind vor allem die Men...

Ai Machine Learning

Fully remote

View details

Siemens Digital Industries (DI) is a global leader in automation and digitalization. In close collaboration with part...

Fulltime Machine Learning Ai

$75k* · Senior Fully remote

View details

AI Engineer till Axfood IT, Stockholm AI Engineer till Axfood IT, Stockholm Karriärvägar: Dataanalys och BI Typ av tj...

Ai Ai Engineer

Fully remote

View details

En Telefonica Ingeniería de Seguridad buscamos un/a Data Analytics & AI Engineer con sólida experiencia en el diseño ...

Ai Ai Engineer Machine Learning Data Science

Fully remote

View details

LOCATION: LONDON Technology In short Your mission as a ML Engineering Manager is to lead, and manage the end-to-end d...

Ai Machine Learning Mlops Robotics

Fully remote

View details

Location(s) Posting Location: New York, New York City/Cities New York Country United States Working Schedule Full-Tim...

Fulltime Ai Data Science Generative Ai

$103k - $154k · Senior Fully remote

View details

10 days left to apply! About BioMed X BioMed X is a leading innovation hub for pharma. With our global network of res...

Ai Engineer Machine Learning Ai

$69k* · Senior Fully remote

View details

Selected role

Machine Learning Engineer - Technical Lead

Kaluza London, ENG, GB

$95k - $131k Senior Full-time

Job title: Machine Learning Engineer - (Senior IC)

Location: London, Bristol, Edinburgh

Salary: £75,200 - £103,400

Reporting to: Head of Data Science & Products

*This role is based in the UK and requires existing right to work in the UK.

At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.**

Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future.

Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.

With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.

At Kaluza we embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We're focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.

Where in the world of Kaluza will I be working?

You'll be part of the centralised Kaluza ML team and wider Data community where you'll share knowledge, support other MLEs, Analysts and Product teams. You'll be developing optimisation, ML algorithms and GenAI solutions across Kaluza.

What will I be doing?

Data is the foundation of everything we do, and to deliver our vision we need curious, tenacious people who can turn this data into strategy and actions with their expertise. As an MLE at Kaluza, you'll help product teams identify patterns and solve challenges with data. Projects include Forecasting, Recommenders and HelpDesk ticket classification.

Key responsibilities include:

Develop ML and GenAI Solutions: Design and implement machine learning using Python, leveraging data technologies such as Databricks, Kafka, and the AWS cloud environment. Our architecture is based on microservices, allowing for dynamic deployment of new features.
Productionise Algorithms: Deploy algorithms into production environments where they can be tested with customers and continuously improved. You'll automate workflows, monitor performance, and maintain data science products using best practices for tooling, alerting, and version control (e.g., Git).
Contribute to a Collaborative Data Science Culture: Share your knowledge and experience with the wider team. You'll play a key role in fostering an ML / AI community that values openness, collaboration, and innovation.
Identify Opportunities for Impact: Help uncover new opportunities where ML/AI can add value across our products and services. This includes asking the right questions, identifying high-impact areas, and contributing to the broader data strategy.

Ideally you will have:

Proven experience leading teams in real-world ML / AI projects, with a strong understanding of core algorithms, data structures, and model performance evaluation.
Proficiency in Python, including libraries such as Scikit-learn, Pandas, NumPy, and others commonly used in the ML ecosystem.
Hands-on experience with GenAI APIs and tools, including deployment and integration of GenAI solutions into production systems.
Strong analytical and problem-solving skills, with the ability to guide teams through complex challenges while keeping business impact in focus.
Experience across the full ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring in production environments.
Expertise with MLOps tools and practices (e.g., MLflow, SageMaker, Docker, CI/CD pipelines), and the ability to set standards and best practices for the team.
Excellent communication and presentation skills, capable of clearly articulating technical results and strategic implications to both technical and non-technical stakeholders, including senior leadership.
Demonstrated track record of stakeholder engagement, leading cross-functional collaboration with product, engineering, and business teams.
Solid foundation in statistics, including techniques such as hypothesis testing, significance testing, and probability theory.
Comfortable working in an agile environment, driving iterative development cycles and mentoring cross-functional teams.
Some experience with Scala is a plus.

Why might this role not suit you?

We are going through a period of significant evolution which is exciting and with it brings lots of opportunity and challenging work, which is not for everyone. To be successful in this role, you will be excellent at operating in ambiguous, changing environments, balancing multiple priorities simultaneously and get enjoyment from making the complex, simple.

We're on a mission, We build together, We're inclusive, We get it done, We communicate with purpose.*

Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people, and as a business, really care about.

Kaluza's vision is to power a world where net-zero is within everyone's reach. Would you be interested in joining us to help achieve this?

From us you'll get

Pension Scheme
Discretionary Bonus Scheme
Private Medical Insurance + Virtual GP
Life Assurance
Access to Furthr - a Climate Action app
Free Mortgage Advice and Eye Tests
Perks at Work - access to thousands of retail discounts
5% Flex Fund to spend on the benefits you want most
26 days holiday
Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
Dedicated personal learning and home office budgets
Flexible working — we trust you to work in a way that suits your lifestyle
And more…

Even better? You'll have access to these benefits from day 1 when you join!

We want the best people

We're keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.

We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.

Find out more about working in Kaluza on our careers page and LinkedIn.

Showing 1501–1520 of 2,388 AI roles

1 … 74 75 77 78 120

Find your next AI role

Machine Learning Engineer - Technical Lead

AI Engineer

Data Scientist AI - Senior Level

SENIOR DATA ENGINEER AND DATA SCIENTIST

Data Scientist

Senior Data Scientist

Data Scientist / ML Engineer (Credit Risk GenAI) (IT) / Freelance

AI Engineer

Data Scientist

AI Engineer

Machine Learning Engineer II

CST Data Scientist II

Data Scientist / Machine Learning Engineer Confirmé

Machine Learning Engineer (m/w/x) AI Modeling Simulation

Principal Machine Learning Engineer

AI Engineer till Axfood IT, Stockholm

TIS_Data Analytics AI Engineer

Machine Learning Engineering Manager

Data Scientist - Pet Insurance

Postdoctoral Scientist - AI/ML Engineer