Machine learning engineer Work, Jobs in Chalfont Saint Peter, Bkm (with Salaries)

Staff+ Software Engineer, Safeguards Infrastructure
Anthropic —London
- £325,000 - £395,000 a year
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Flexible schedule
Principal Engineer
Tiro Partners —Staines-upon-Thames
- Up to £100,000 a year
- Azure
- Computer Science
- Software troubleshooting
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- Research
- Master's degree
- Bachelor's degree
- Flexible schedule
Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Machine learning
- Mentoring
- AI
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
Machine Learning Engineer
Deliveroo —London
- Full-time
- Machine learning
- Software development
Medical Doctor (UK) - Freelance AI Trainer Project
Meridial —London
- £40 - £120 an hour
- Remote
- AI
- Annual leave
English (United Kingdom) Language Specialist - Freelance AI Trainer Project
Meridial —London
- £6 - £65 an hour
- Remote
- Engineering
- English
- AI
- Annual leave
Machine Learning Engineer
G-Research —London
- Bar
- No experience needed
- Research
- Annual leave
Chief Technology Officer
Artsy and Artnet —London
- £200,000 - £350,000 a year
- Full-time
- Hybrid work
- Mentoring
- Agile
- AI
- Employee assistance programme
Machine Learning Engineer
Almedia —London
- £130,000 - £230,000 a year
- Full-time
- Machine learning
- AI
Machine Learning Systems Engineer, Ads ML Platform
Reddit —London
- Remote
- Machine learning
- Annual leave
Quick apply
Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Computer Science
- Machine learning
- Software development
- Gym membership
Quick apply
Machine Learning Engineer (UK)
Bumble Inc. —London
- Call to connect
- Hybrid work
- Agile
- AI
- Annual leave
Quick apply
Machine Learning Engineer
kingfisher —London
- Full-time
- Hybrid work
- AI
AI and Machine Learning Engineer (2 Year Fixed Term Contract)
Mitsubishi Power EMEA —London
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Annual leave
Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Machine Learning Engineer
Xantura —London
- £50,000 - £70,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Quick apply
10h
Junior AI Agent Developer
Levocell Ltd —Slough
- £30,990.02 - £40,000.00 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Free parking
Quick apply
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machine learning engineer jobs near chalfont saint peter, bkm

Staff+ Software Engineer, Safeguards Infrastructure

Anthropic -
London

Apply Now

Job details

£325,000 - £395,000 a year

Benefits

UK visa sponsorship
Flexible schedule

Qualifications

Rust (programming language)
Computer Science
Engineering
Bachelor's degree
AI
TypeScript
Communication skills
Python

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

We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight.

Responsibilities:

Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You may be a good fit if you have:

Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience
Proficiency in Python
Ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

7+ years of experience in a software engineering position
Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems
Have experience building metrics and measurement systems or data and privacy management systems
Have worked closely with operational teams to build custom internal tooling
Be proficient in TypeScript or Rust
Have experience with Claude Code or similar agentic coding tools

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:

£325,000 - £395,000 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

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machine learning engineer jobs in chalfont saint peter, bkm

Staff+ Software Engineer, Safeguards Infrastructure

Principal Engineer

Research Engineer, Machine Learning (Reinforcement Learning)

Senior Machine Learning Engineer

Research Engineer, Machine Learning (RL Velocity)