Machine Learning Jobs in Brighton

Open roles

589

Salary range

£28k – £630k

Hiring companies

View 589 live roles → Get an alert

Salary on the board

£28k – £630k

Based on advertised midpoints across the 96 priced listings posted in the last 12 months. Base salary only.

By seniority

£k base

Entry

3 jobs

Junior

2 jobs

Mid

630

20 jobs

Senior

630

45 jobs

Lead

160

19 jobs

Director

100

200

3 jobs

Live jobs

589 live roles

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Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers London, United Kingdom

On-site Permanent

Cloud DevOps Engineer AWS

This role involves deploying and maintaining cloud infrastructure for AI and machine learning solutions, building CI/CD pipelines, and supporting the setup of tools for model training and inference. You will work closely with data scientists and engineers to deliver scalable and secure solutions, with a focus on AWS and GenAI projects.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Applied AI Architect, Industries

As an Applied AI Architect at Anthropic, you will serve as a trusted technical advisor to large enterprises, helping them understand and integrate Claude, Anthropic's AI system, into their technology stack. You will work closely with sales, product, and engineering teams to guide customers through technical discovery, evaluation, and deployment, ensuring alignment with business objectives and maintaining high standards for safety and reliability.

Anthropic 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

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

Insights Enablement Lead

The Insights Enablement Lead will design and implement frameworks to transform bespoke insight projects into scalable solutions, ensuring consistent, high-quality delivery across teams and clients. Key responsibilities include assessing project types, embedding AI and automation, defining best practices, and collaborating with stakeholders to optimize project delivery at scale.

dunnhumby London, United Kingdom

Hybrid Permanent

Senior Data Science Engineer

As a Senior Data Science Engineer, you will design and deliver production-grade Python solutions, work with relational databases, and implement machine learning techniques. You will also contribute to CI/CD practices, build reusable Python packages, and mentor junior team members to enhance the team's engineering capabilities.

dunnhumby 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

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