Machine Learning Jobs in Brighton

Open roles

599

Salary range

£28k – £640k

Hiring companies

View 599 live roles → Get an alert

Salary on the board

£28k – £640k

Based on advertised midpoints across the 100 priced listings posted in the last 12 months. Base salary only.

By seniority

£k base

Entry

3 jobs

Junior

2 jobs

Mid

640

24 jobs

Senior

630

45 jobs

Lead

160

19 jobs

Director

100

200

3 jobs

Live jobs

599 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

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

Principal Research Scientist

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....

PhysicsX London, United Kingdom

Workplace Manager

As Workplace Manager, you will oversee the day-to-day operations of Synthesia's London office, ensuring a seamless and welcoming environment. Responsibilities include managing front-of-house operations, maintaining office standards, and leading initiatives to enhance employee engagement and culture.

Synthesia London, United Kingdom

Hybrid Permanent

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