Machine learning engineer Work, Jobs in London Sw1a (with Salaries)

Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
Anthropic Fellows Program, AI Safety & Security
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Master's degree
- Bachelor's degree
- Flexible schedule
Graduate AI Engineer
Fifty One Degrees —London
- £40,000 a year
- Full-time
- Hybrid work
- Software development
- AI
- Python
Quick apply
14d
End User Support Engineer (L2/L3)
Nimbus —London
- £45,000 - £50,000 a year
- Full-time
- Google Suite
- Maintenance
- Continuous improvement
- Health & wellbeing programme
- Life insurance
Quick apply
13d
Junior / Intermediate Developer
Stonerise Technology Ltd —London
- £40,000 - £50,000 a year
- Full-time
- ERP systems
- Master's degree
- APIs
- Annual leave
Quick apply
Associate AI Engineer (6-month contract)
Board International —London
- Full-time
- Azure
- ERP systems
- Analysis skills
Quality Assurance Rater - English (United Kingdom)
TELUS Digital —London
- £17.40 an hour
- English
- Research
- Analysis skills
Quick apply
Frontend Engineer
nPlan —London
- £70,000 - £90,000 a year
- Hybrid work
- AI
- Flexible schedule
Graduate Technical Product Analyst - 1 Year Work Experience
Atominvest —London
- £37,000 - £40,000 a year
- Full-time
- Microsoft Excel
- Microsoft Outlook
- APIs
5d
Software Engineer, Junior / Graduate (m/f/*)
Quaisr —London
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Software development
- Communication skills
- Annual leave
Test Analyst
CSM Consulting Services Ltd —Slough
- £33,150 - £36,229 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- Scripting
- Work from home
- Language training provided
Quick apply
AI and Machine Learning Engineer (2 Year Fixed Term Contract)
Mitsubishi Power EMEA —London
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
UK QA Engineer
Reset Health —London
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Computer Science
- English
- No degree
Quick apply
AI Programme Manager - Contract role
Project Blackbook —London
- £400 - £650 a day
- Hybrid work
- AI
Quick apply
14d
Junior Infrastructure Engineer
Sinara Consultants —London
- £30,000 - £40,000 a year
- Full-time
- Azure
- AWS
7d
Math, Physics & Engineering Graduates
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
Graduate Programme 2027: Data Scientist and Analyst
Revolut —London
- £10,800 a month
- Full-time
- Hybrid work
- English
- Maths
- Communication skills
Software Engineer I (New Grad)
Samsara —London
- £67,575 - £79,500 a year
- Overtime
- Hybrid work
- Computer Science
- Bachelor's degree
- In-person
Associate Engineer (Graduate Entry Role)
Cloudscaler —London
- £34,000 - £35,000 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- AWS
- Annual leave
- Referral programme
Web Developer Intern
AP Homes LTD —South Kensington Station
- Hybrid work
- Computer Science
- In-person
- AI
Quick apply
9d

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Research Engineer, Machine Learning (RL Velocity)

Anthropic -
London

Apply Now

Job details

£370,000 - £630,000 a year

Benefits

UK visa sponsorship
Flexible schedule

Qualifications

Performance tuning
Bachelor's degree
Machine learning
Distributed systems
Multidisciplinary collaboration
Communication skills

Full job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.

Responsibilities

Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale

You may be a good fit if you

Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego

Strong candidates may also have

Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£370,000 - £630,000 GBP

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

machine learning engineer jobs in london sw1a

Research Engineer, Machine Learning (RL Velocity)

Anthropic Fellows Program, AI Safety & Security

Graduate AI Engineer

End User Support Engineer (L2/L3)

Junior / Intermediate Developer

Associate AI Engineer (6-month contract)

Quality Assurance Rater - English (United Kingdom)

Frontend Engineer

Graduate Technical Product Analyst - 1 Year Work Experience

Software Engineer, Junior / Graduate (m/f/*)

Test Analyst

AI and Machine Learning Engineer (2 Year Fixed Term Contract)

UK QA Engineer

AI Programme Manager - Contract role

Junior Infrastructure Engineer

Math, Physics & Engineering Graduates

Graduate Programme 2027: Data Scientist and Analyst

Software Engineer I (New Grad)

Associate Engineer (Graduate Entry Role)

Web Developer Intern

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