5 Machine Learning Engineer jobs in Nottingham

A well-funded, high-growth tech company is building the next generation of AI-powered automation tools —reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a Machine Learning Engineer to help design and build intelligent systems that make that future a reality.

This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration.

Salary: £60,000 - £75,000

The Role

You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI applications in a production environment.

You’ll work in a fast-paced R&D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery.

What You’ll Be Doing

• Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks
• Build production-level backend and microservices in Python and TypeScript
• Work with product and engineering teams to shape models, services, and system behaviour
• Contribute to system architecture and infrastructure for scale, observability, and performance
• Explore and implement LLMs, prompt engineering, and AI orchestration frameworks
• Take ownership of features end-to-end, from design to deployment and monitoring

What They’re Looking For

• 8+ years of software engineering experience , with strong ML or backend focus
• Proficiency in Python and/or TypeScript , and experience with production-grade systems
• Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.)
• Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs
• Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB)
• Problem-solver who can reason about complex systems and deliver clean, scalable code
• Excellent communication skills and ability to collaborate across technical and non-technical teams

Nice to Have

• Hands-on experience with agentic workflows or autonomous AI systems
• Background in data engineering or database architecture
• Side projects, open-source contributions, or hobbyist builds involving AI/ML
• Interest in rapid prototyping, automation, and cutting-edge AI tooling

What’s on Offer

• Competitive salary with equity/options available
• Hybrid working from a base in the East Midlands , with in-office collaboration
• Work on cutting-edge AI challenges with real-world impact
• Join a high-performing, ambitious team backed by leading investors
• Opportunity to shape intelligent products from the ground up

This is a great opportunity for a machine learning engineer or backend AI developer who wants to work on high-impact, production-ready AI tools at the edge of innovation.

Department of Computer Science

TrainFX

Computer Vision and Machine Learning Specialist (KTP Associate)

Period: 13.5 months (Full time)

Salary: 4,000 to 8,000 per annum (Starting salary to be confirmed on offer of appointment), plus ,500 training budget

Project Title: AI-empowered Vision System for Passenger Counting and Smart Passenger Information System (PIS)

This project is a Knowledge Transfer Partnership (KTP) project between Loughborough University and TrainFX, funded by UKRI Innovate UK, with 13.5 months remaining.

This is an exciting opportunity for a forward-thinking and ambitious specialist in computer vision and machine learning to join a company that specialises in providing SAAS services to the Rail Industry. Working with some of the biggest Train Operators in the UK, you will be joining a company that finds ways to help make services to Rail passengers better, faster and more accessible for everyone.

The project aims to develop computer vision technology for automated counting of passenger numbers and monitoring occupancy in train carriages and integrate the real-time passenger loading information into TrainFX Smart-PIS (Passenger Information System). 

The AI-empowered Smart-PIS will provide dynamic data acquisition and real-time, personalised information supporting travellers, railway operators and service providers. The system will improve current service efficiency, promote passenger satisfaction, and provide the potential for new services through affordable technologies.  It is the first of this kind of innovative system in railway which enables bespoke customisation towards rail industry objectives.  

The whole KTP project will be delivered through dual Associate workplans by two KTP Associates. KTPs aim to help businesses improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. 

The candidate will be hold PhD (or near completion) or MSc in Computer Science or closely allied disciplines and will have solid skills to support software QA and optimise I/O performance.

The KTP Associate will be based primarily at the company TrainFX premises in Derbyshire and will also spend some time at Loughborough University with the academic team. The Associate will be supervised by an academic team led by Prof. Baihua Li and Prof. Qinggang Meng who are experts in AI and computer vision at Department of Computer Science, Loughborough. The Associate will form an integral part of the TrainFX research and development team, working closely with the TrainFX supervisory team and company partners. 

For more information refer to the Job Description and Person Specification.

Informal enquiries

Informal enquiries should be made to the Lead Academic, Professor Baihua Li ( ).

The closing date for receipt of applications is 25 June 2025.

The interviews will take place on or around 3 and 4 July 2025.

Probe Technical Recruitment are recruiting for a stable and great employer who require a Machine Tool Service Engineer. They have built a resilient customer base over the years and have a very low staff turnover.

You will have the chance to join a team of Field Based Service Engineers covering UK Nationwide, all locations will be considered for the role. You will be covering a wide range of both mechanical and electrical aspects of machine tools.  

The role will involve travelling to customers sites to commission, service and repair the company’s extensive range of machines and will involve some nights away.

The benefits package for the Machine Tool Service Engineer role include:

• Negotiable / Competitive salary (£45,000+) 
li>25 + 8 days Holiday  li>Company Pension Plan  li>Company Van with fuel card and personal milage included  li>Phone / Laptop / Hotel card     

                        . 
Ideally you will be Apprentice trained but must be qualified Electrically or Mechanically and preferably have some understanding of Siemens controlled machines although training will be given on control aspects. 

We would be very keen to talk to Maintenance Engineers, Maintenance Electricians who want a role on the road as a Service Engineer and Field Service Engineers with Machine Tool experience.

Please Note: Candidates must have the right to live and work in the UK.

Our aim is to help you secure the best possible future for yourself & this is a totally FREE  service to all our Candidates.

If you believe that your skills and experience match what we are looking for please call me or APPLY  and I will be in touch.

Should you want to learn more about any of our MAINTENANCE, RELIABILITY & SERVICE ENGINEERING  vacancies, or should you just want to discuss your particular needs, then please do not hesitate to contact me to have an informal, confidential chat.

Probe Technical Recruitment, providing Maintenance, Reliability & Service Engineering Recruitment Support since 1994

Field Service Engineer (CNC / Machine Tools)
40,000 - 50,000 + Bonus + Door to Door + Mon-Fri + Training + Benefits
Leicester

Are you a Service Engineer or similar with a background in Machine Tools or CNC Machinery looking to become a go-to expert for a well-established company who invest in training and development as well as offering great benefits and bonuses enabling you to significantly boost your earnings?

On offer is the chance to join a market leading OEM (Original Equipment Manufacturer) representing a brand synonymous with quality. You will be working directly for the manufacturer, so you will get all the tools, parts and equipment you need as well as specialist training to expand your skillset and progress your career.

In this varied role, you will operate across a regional patch performing both planned and reactive maintenance on specialist tooling machinery, you will be responsible for mechanical and electrical fault finding, diagnosis and breakdowns. This position offers the option to increase your wages through optional overtime. You will be home based working Monday to Friday with no compulsory weekend work.

This opportunity would suit a Field Service Engineer or similar with a background in servicing or maintaining CNC machinery or similar, who is looking for a company who invest in training, look after their staff and offer clear routes to progress your career alongside bonuses to boost earnings.

The Role:

• Planned and Reactive Maintenance on CNC or Tooling Machinery
• Full training on Servicing and Commissioning
• Monday to Friday - covering a regional patch
• 50 hour week - door to door, no weekend cover.

The Person:

• Field Service Engineer or similar
• Background in CNC or Tooling Machinery
• Full UK Driving License, happy to travel

Reference: BBBH20250B

Service, Field, Maintenance, Engineer, Engineering, Technician, Machine, CNC, Hybrid, Milling, Turning, Machining, Tool, Tools, Birmingham, Coventry, Leicester, Midlands

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

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