Machine Learning Jobs in Woking

Open roles

604

Salary range

£28k – £640k

Hiring companies

View 604 live roles → Get an alert

Salary on the board

£28k – £640k

Based on advertised midpoints across the 99 priced listings posted in the last 12 months. Base salary only.

By seniority

£k base

Entry

3 jobs

Junior

1 job

Mid

640

23 jobs

Senior

630

46 jobs

Lead

160

19 jobs

Director

100

200

3 jobs

Live jobs

604 live roles

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Data Scientist - Defence & Security

This role involves working on cutting-edge machine learning and GenAI solutions, deploying LLMs and ML models in secure government and defence environments. You will lead technical delivery, design and optimise pipelines, and mentor junior engineers within a collaborative team.

eFinancialCareers London, United Kingdom £75,000 pa

On-site Permanent Clearance Required

Quant Fund Recruiting Experienced Statistical Arbitrage Researcher Location

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Applied Scientist, Amazon Transportation

This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and implementing algorithms in production systems. The team works on optimizing Amazon's freight marketplace, improving the experience for carriers and shippers, and solving complex problems with significant business impact.

Amazon London, United Kingdom

On-site Permanent

Applied Scientist Gen AI - Amazon Advertising, CreativeX

As an Applied Scientist in Amazon Advertising's CreativeX team, you will focus on developing and implementing multi-modal Generative AI methods to create high-quality advertising creatives. Your responsibilities will include building and optimizing ML models, conducting experiments, and collaborating with cross-functional teams to productize your research. You will also contribute to the team's collaborative spirit by mentoring others and publishing your findings.

Amazon London, United Kingdom

On-site Permanent

Contract Support

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are recruiting a Contract Support to join the team located in London.About the Role:As a CBRE Contract Support Associate, you will provide...

CBRE Enterprise EMEA London, United Kingdom

Research Scientist

As a Research Scientist at PhysicsX, you will collaborate with machine learning and simulation engineers to translate complex physics and engineering challenges into mathematical models. Your work will involve building and optimizing AI-driven simulations, communicating results to stakeholders, and mentoring junior colleagues. This role offers the opportunity to work on cutting-edge projects that push the boundaries of engineering and manufacturing.

PhysicsX London, United Kingdom

On-site Permanent

Staff Machine Learning Software Engineer, Research

This role involves shaping the research group's strategy and culture, defining necessary profiles, and promoting effective working patterns. You will work closely with research scientists and simulation engineers to build and deliver machine learning models that address real-world physics and engineering problems, focusing on scalability, efficiency, and robust implementation. The position also includes mentoring junior team members and setting technical direction for the research stream.

PhysicsX London, United Kingdom

On-site Permanent

Product Manager, Analytics

This role involves owning the end-to-end analytics product for enterprise learning and development, focusing on individual learner progress, programme-level reporting, and leadership views. You will work closely with the engineering manager, designer, and customer-facing teams to define the product roadmap, gather customer insights, and ensure the analytics product is trusted and actionable.

Synthesia London, United Kingdom

Hybrid Permanent

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