Machine Learning Jobs in Basildon

Open roles

565

Salary range

£28k – £630k

Hiring companies

View 565 live roles → Get an alert

Salary on the board

£28k – £630k

Based on advertised midpoints across the 90 priced listings posted in the last 12 months. Base salary only.

By seniority

£k base

Entry

3 jobs

Junior

1 job

Mid

630

19 jobs

Senior

630

42 jobs

Lead

160

18 jobs

Director

100

200

3 jobs

Live jobs

565 live roles

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Lead GenAI Lead Engineer, Innovation Labs - SVP - Citi

This role involves leading the design and development of AI services within Citi's Innovation Labs, managing a team of engineers and data scientists, and driving innovative AI projects across the bank. You will work with internal and external stakeholders to deliver complex solutions and ensure best practices in governance and risk management.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Quantitative Researcher - Global Market Maker

The role involves conducting in-depth research and statistical analysis to evaluate securities and trading opportunities, developing and enhancing trading strategies, and implementing algorithms to optimize trading performance. You will work with large data sets, design robust mathematical models, and back-test models in a live trading environment.

eFinancialCareers London, United Kingdom

On-site Permanent

Research Engineer, Machine Learning (RL Velocity)

As a Research Engineer on the RL Velocity team, you will focus on building and improving the RL training infrastructure, identifying and removing bottlenecks, and partnering with researchers and engineering teams to enhance the efficiency and reliability of Anthropic's AI systems. This role involves high-leverage work that impacts the entire organization's ability to iterate and improve models quickly.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom

On-site Permanent

Member of Technical Staff, Safety for Agents

This role involves developing better, fairer, and more secure Large Language Models (LLMs) by focusing on data generation, post-training algorithms, and evaluation methods. You will work closely with cross-functional teams to ensure the safety and ethical use of LLMs, with a significant emphasis on experimental design and data management.

Cohere London, United Kingdom

Hybrid Permanent

Senior ML Systems Engineer, Frameworks & Tooling

This role involves building and maintaining the training framework for large-scale language models, designing distributed training abstractions, and developing tooling to connect research ideas to thousands of GPUs. You will work closely with infrastructure teams to ensure high-performance training and resolve performance bottlenecks across the ML systems stack.

Cohere London, United Kingdom

Remote Permanent

Senior Applied Data Scientist

As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.

dunnhumby London, United Kingdom

Hybrid Permanent

Applied Data Scientist

As an Applied Data Scientist, you will work on complex problems in category management, leveraging advanced data science and machine learning techniques to deliver actionable insights for clients like Tesco. You will collaborate closely with client leadership and team members to build scalable, reusable solutions that drive measurable value and innovation.

dunnhumby London, United Kingdom

Hybrid Permanent Flexible

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