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1,895

Machine Learning Engineer jobs in United Kingdom

AI Agent Engineer (Machine Learning Engineer)

Zendesk

City Of London
On-site
GBP 55,000 - 75,000
Today
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Machine Learning Engineer

Cobalt Consulting (UK) Ltd

City Of London
On-site
GBP 50,000 - 70,000
Today
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Senior Machine Learning Engineer - Model Development

PlayStation Global

City Of London
Hybrid
GBP 60,000 - 80,000
Today
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Machine Learning Engineer

Sky

City Of London
Hybrid
GBP 125,000 - 150,000
Today
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Senior Machine Learning Engineer

PhysicsX

City Of London
Hybrid
GBP 70,000 - 90,000
Today
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Senior Machine Learning Engineer

Wayve

City Of London
On-site
GBP 70,000 - 90,000
Today
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Senior Machine Learning Engineer

Wyatt Partners

City Of London
On-site
GBP 80,000 - 100,000
Today
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Machine Learning Engineer

Flatiron Health

City Of London
On-site
GBP 50,000 - 70,000
Yesterday
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Machine Learning Engineer - 2/3 Month Contract

Samsung Electronics Co., Ltd.

Staines-upon-Thames
Hybrid
GBP 125,000 - 150,000
Yesterday
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Staff Machine Learning Engineer

PlayStation Global

City Of London
Hybrid
GBP 70,000 - 90,000
Yesterday
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Senior Software Engineer – Machine Learning Tools

NLP PEOPLE

Cambridge
On-site
GBP 40,000 - 60,000
Yesterday
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AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

MLabs

City Of London
Remote
GBP 80,000 - 100,000
2 days ago
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Lead Machine Learning Engineer

Burns Sheehan

City Of London
Hybrid
GBP 110,000 - 120,000
2 days ago
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Machine Learning Engineer

Lawhive

City Of London
On-site
GBP 60,000 - 85,000
2 days ago
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Senior ML Engineer, Data & Machine Learning

Linktree

City Of London
Hybrid
GBP 80,000 - 110,000
Yesterday
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Senior Software Engineer, Data & Machine Learning

Linktree

City Of London
Hybrid
GBP 80,000 - 100,000
Yesterday
Be an early applicant

Data Scientist / Machine Learning Engineer - Parental Leave Cover

Lego

City Of London
Hybrid
GBP 50,000 - 80,000
2 days ago
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Staff Machine Learning Engineer

HubSpot

City Of London
Hybrid
GBP 80,000 - 100,000
3 days ago
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Senior Platform Engineer, Machine Learning

Monzo

City Of London
Hybrid
GBP 95,000 - 130,000
3 days ago
Be an early applicant

Senior Machine Learning Engineer

Isomorphic Labs

City Of London
On-site
GBP 70,000 - 90,000
3 days ago
Be an early applicant

Staff Machine Learning Engineer

PlayStation Network

City Of London
Hybrid
GBP 70,000 - 90,000
3 days ago
Be an early applicant

Machine Learning Engineer

Norton Blake

City Of London
Hybrid
GBP 80,000 - 110,000
3 days ago
Be an early applicant

Machine Learning Engineer

Vallum Associates

United Kingdom
Remote
GBP 60,000 - 80,000
3 days ago
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Senior Machine Learning Engineer - Model Development

PlayStation Network

City Of London
Hybrid
GBP 80,000 - 100,000
3 days ago
Be an early applicant

Machine Learning Engineer

Speechmatics

City Of London
Hybrid
GBP 50,000 - 80,000
3 days ago
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AI Agent Engineer (Machine Learning Engineer)
Zendesk
City Of London
On-site
GBP 55,000 - 75,000
Full time
Today
Be an early applicant

Job summary

A leading technology company in London is seeking an AI Agent Engineer to innovate in AI technology, focusing on developing intelligent agents leveraging Large Language Models. You'll design robust AI agents, troubleshoot systems, and collaborate with teams to streamline operations. Ideal candidates will have strong Python skills and a background in AI. This role supports career growth in an inclusive environment.

Qualifications

  • Familiarity with multi-step, tool-using agents.
  • Basic understanding of prompt engineering and LLM behavior.
  • Experience in integrating agents with external tools and APIs.

Responsibilities

  • Design and develop AI agents using Python and frameworks.
  • Evaluate and select appropriate models and services.
  • Troubleshoot and debug AI systems for optimal performance.

Skills

Python
LLM system design
Tool Integration & APIs
Retrieval-Augmented Generation
Performance Optimization

Education

Bachelor's or Master's in Computer Science or related field
Job description

The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 isn't your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.

About the Role:

We're seeking a passionate AI Agent Engineer to join our team. In this role, you'll contribute to innovating at the forefront of AI technology, focusing on developing and refining intelligent, autonomous agents that leverage Large Language Models (LLMs) to streamline operations. You'll be a key player in implementing and improving the cognitive architecture for our AI-powered applications, creating systems that can reason, plan, and execute complex, multi-step tasks. You'll primarily focus on defined project scopes and tasks, working under the guidance of more senior team members.

What You'll Do (Responsibilities):
  • Contribute to the design and development of robust, stateful, and scalable AI agents using Python and modern agentic frameworks (e.g., LangChain, LlamaIndex).
  • Support the evaluation and selection of appropriate foundation models and services from third-party providers (e.g., OpenAI, Anthropic, Google), contributing to the analysis of their strengths, weaknesses, and cost-effectiveness for specific use cases.
  • Participate in the lifecycle of AI Agent deployment—collaborate closely with your immediate team, including product managers and software engineers, to understand user needs for the features you're building.
  • Troubleshoot and debug AI systems to ensure optimal performance and reliability in production environments for assigned components.
  • Document development processes, code, and findings to ensure knowledge sharing and maintainability within the team.
Core Technical Competencies:
  • Familiarity with LLM-Oriented System Design: Understanding of multi-step, tool-using agents (e.g., LangChain, Autogen). Basic understanding of prompt engineering, context management, and LLM behavior (e.g., hallucinations).
  • Tool Integration & APIs: Ability to integrate agents with external tools, databases, and APIs (e.g., OpenAI, Anthropic) in secure execution environments.
  • Retrieval-Augmented Generation (RAG): Understanding of RAG pipelines with vector databases.
  • Evaluation & Observability: Basic understanding of LLM evaluation frameworks and monitoring for latency and accuracy.
  • Safety & Reliability: Awareness of prompt injection and basic concepts of implementing guardrails and fallback strategies.
  • Performance Optimization: Basic understanding of managing LLM token budgets and latency.
  • Planning & Reasoning: Familiarity with concepts of agents with long-term memory and planning capabilities.
  • Programming & Tooling: Proficient in Python (Fast API) and LLM SDKs;
Bonus Points (Preferred Qualifications):
  • Bachelor's or Master's in a relevant field (e.g., Computer Science, AI, Machine Learning, NLP).
  • Understanding of foundational ML concepts (attention, embeddings, transfer learning).
The Interview Process:

We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process:

  1. Initial Call with Talent Team - 15 mins
  2. Interview with one member of the Hiring Team - 45 minutes
  3. Take-home technical challenge
  4. A technical interview with two of our developers to talk more in-depth about your technical experience and answer any questions you might have - 1 hour
  5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes
Zendesk:

Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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