Senior ai/ml engineer Work, Jobs in Woldingham, Sry (with Salaries)

Senior AI Engineer
Reward Gateway —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Employee discount
Senior Security Engineer - AI Products & Platforms
Citi —London
- Full-time
- Hybrid work
- Master's degree
- JavaScript
- APIs
- Annual leave
- Employee assistance programme
Senior AI Engineer (Remote)
Softblues —London
- Remote
- Azure
- English
- AWS
- Annual leave
- Flexible schedule
Senior AI/ML engineer
Flo Health —London
- £120,000 - £150,000 a year
- Hybrid work
- Master's degree
- AWS
- APIs
- Annual leave
Quick apply
Senior Staff+ Software Engineer, Kubernetes Platform
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- AWS
- C++
- Bachelor's degree
- Flexible schedule
Senior AI/ML Engineer
Limbic —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Engineering
- Annual leave
AI Engineer – Agentic AI (Training & Enablement)
Kubrick Group —London
- £90,000 - £130,000 a year
- Azure
- DevOps
- SQL
Senior AI Engineer (AI Factory), Manager – Financial Services, AI Scaling and Transformation, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- Computer Science
- Master's degree
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Machine learning
Enterprise AI Architect
T. Rowe Price —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
AI Platform Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £110,000 - £250,000 a year
- Full-time
- Remote
- System design
- APIs
- AI
Senior Manager – AI Solutions Engineer, TMT, AI for Sustainability & Infrastructure, AI & Data
Deloitte —London
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Senior Manager – AI Solutions Engineer, ER&I, AI for Sustainability & Infrastructure, AI & Data
Deloitte —London
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Multimodal ML Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- APIs
- Relocation assistance
- Annual leave
Senior Forward-Deployed AI Engineer, Tactical AI Automations
PIMCO —London
- Full-time
- Computer Science
- Master's degree
- SQL
ML Infrastructure Engineer
White Circle —London
- £180,000 - £350,000 a year
- Full-time
- Hybrid work
- English
- Master's degree
- C++
- Relocation assistance
- Annual leave
Senior Principal AI Engineer
Synapri —London
- £90,000 - £120,000 a year
- Hybrid work
- Azure
- AWS
- Presentation skills
Senior AI Engineer
ClearRoute —London
- Hybrid work
- Azure
- AWS
- APIs
- Employee assistance programme
Senior Staff+ Software Engineer, Node Infra
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Azure
- System design
- AWS
- Flexible schedule
AI Architect / Engineer (Agentic AI & LLM Architecture)
Talan —London
- Full-time
- Hybrid work
- Master's degree
- Travel
- APIs
- Employee assistance programme
Quick apply

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Senior AI Engineer

Reward Gateway -
London

Apply Now

Job details

Full-time
£80,000 - £90,000 a year

Benefits

Company pension
Private medical insurance
Employee discount

Qualifications

Law
Kubernetes
Master's degree
AWS
Docker
Terraform
Natural language processing
GitHub
AI
Communication skills
Python

Full job description

Reward Gateway, part of Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic reward, recognition, and well-being solutions.

Guided by our shared missions - ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’ - we’re committed to transforming workplaces and improving people’s daily lives.

Our team embodies entrepreneurial spirit, innovation, and respect. We push boundaries, speak up, and stay human, fostering a culture where imagination thrives.

Your Role in Our Mission:

As we continue to expand our business, we have an opportunity for a Senior AI Engineer to build and optimize production AI systems. You will work on the latest third-party AI services and frameworks, implementing LLMs, RAG architectures, and agentic workflows to boost internal tools, accelerate developer productivity, and elevate customer experience. You will collaborate with senior stakeholders across Product, Operations, and Engineering, translating business requirements into well-engineered technical solutions.

What’s In It For Me?

A chance to be part of an extremely well established, stable and high growth ‘Unicorn’ SaaS company with over 50 benefits in our employee benefits package, including:

A flexible holiday plan of up to 40 days per year
£400 a year Wellbeing Allowance
Private Medical Insurance
Allowance for professional development books, E-books, and podcasts
Contributory pension scheme
Employee, friends and family discounts across 1200+ retail, hospitality and lifestyle brands

Click here to see our full suite of benefits and perks dedicated to supporting all aspects of employee wellbeing!

Flexible, Hybrid Working:

Collaboration, connection as a team, and strong internal relationships are part of the “RG Magic” that makes our culture thrive. Our teams work from our Dean Street office two days per week.

What You’ll be Doing:

Technical Development & Execution

Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, and agents
mplement and maintain retrieval pipelines using embeddings, vector databases, hybrid search, and effective chunking strategies
Develop proof-of-concepts for emerging AI technologies and assess their production viability
Write clean, maintainable code following established engineering best practices and quality standards
Use AI coding assistants such as GitHub Copilot and Claude Code to accelerate development
Participate in code reviews and architectural discussions to improve code quality and system design

Collaboration & Problem-Solving

Work closely with Product and Engineering teams to understand requirements and deliver iterative solutions
Collaborate with cross-functional partners (Security, Data, Operations) to ensure solutions meet quality, compliance, and scalability requirements
Communicate technical decisions and tradeoffs clearly with both technical and non-technical stakeholders
Contribute to improving AI development practices and tooling through feedback and suggestions

Learning & Growth

Stay current with AI/ML developments, emerging frameworks, and best practices
Learn from more experienced engineers and contribute knowledge back to the team
Participate in capability-building activities and knowledge-sharing sessions
Build expertise in production AI systems, model evaluation, and optimization techniques

Experience and Skills You Need in this Role:

Essential skills

Solid software engineering experience with a focus on production Generative AI and RAG systems
Demonstrated experience building and deploying AI systems in production environments
Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases
Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI, etc.)
Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude)
Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes)
Solid understanding of ML fundamentals, model evaluation, and performance optimization
Good communication skills with ability to collaborate effectively across teams
Data engineering capability, including working with datasets, ETL pipelines, and metrics definition

Nice to have (but not essential)

Experience with agentic workflow systems and complex orchestration patterns
Background in NLP or contributions to open-source AI/ML projects
Experience with model fine-tuning or custom training approaches
Familiarity with MLOps platforms and experiment tracking tools
Experience with infrastructure as code (Terraform, CloudFormation)

The Interview Process:

Screening interview with the Talent Acquisition Partner
First Stage Online Interview with the Director of AI Engineering
Final Stage Online/In-Person Interview (3 stages: Technical, Product Team, VP Engineering)

At Reward Gateway | Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Be comfortable. Be you.
We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it’s about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.

About Reward Gateway

Reward Gateway is culture and client driven. We’re obsessed with putting the “Human” in HR and are proud to have been 100% dedicated to HR for over a decade. Since 2007, we’ve been right by the side of the world’s most innovative HR people, giving them beautiful products and tools they can use to attract, engage and retain their people.

The world’s most successful companies treat their people differently. They generate stock market returns of twice their peers and they have half the employee turnover. 76% of CEOs recognize that employee engagement is vital to their success but only 24% say they have a highly engaged company. Bridging that engagement gap is what drives us.

Our Hiring Process

Stage 1:

Applied

Stage 2:

Review

Stage 3:

Final Interview

Stage 4:

Hired

Department

Engineering

Employment Type

Full Time

Location

London

Workplace type

Hybrid

Compensation

£80,000 - £90,000 / year

Reporting To

Director of AI Engineering

Apply Now

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