machine learning engineer Work, Jobs in bassingbourn, cam (with Salaries)

Machine Learning Ops Engineer
Affinity Water —Hatfield
- From £60,000 a year
- Hybrid work
- DevOps
- AWS
- Analysis skills
- Annual leave
- Employee discount
Graduate Engineer - Machine Learning Hardware Design
Arm —Cambridge
- £42,500 - £57,500 a year
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
2d
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Scientist II, Peptide Drug Discovery
Parabilis Medicines —Cambridge
- £120,000 - £145,000 a year
- Doctoral degree
- Laboratory experience
- Scripting
Director of Information Security
Beyond Co —Newmarket
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Software development
- AI
- Health & wellbeing programme
- Work from home
Quick apply
14d
IT Support Analyst
STEMCELL Technologies Inc —Cambridge
- £24,700 - £37,100 a year
- AWS
- IT
Software Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- AWS
- Software development
- AI
Staff Linux Support Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- C++
- Linux
- AI
IT solutions Engineer
Arm —Cambridge
- £52,400 - £71,000 a year
- Hybrid work
- APIs
- AI
IT/Technical Support Technician(onsite)
SRM Digital Limited —Cambridge
- Up to £120 a day
- Temporary
- Azure
- Windows
- AWS
Quick apply
19h
Head of IT
Alzheimer's Research UK —Cambridge
- £75,000 a year
- Azure
- Management
- SQL
- Sick pay
3d
Front End Developer
Highway Data Systems —Hitchin
- From £60,000 a year
- Full-time
- Hybrid work
- English
- AWS
- JavaScript
- Work from home
- Employee stock ownership plan
Quick apply
3d
Staff Applied SoC & Hardware Engineer, Workforce Development
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Linux
- AI
- Communication skills
Computational Scientist
The Innovation Game —Cambridge
- £35,000 - £47,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- English
- Bachelor's degree
Quick apply
7d
Machine Learning Engineer
Tesco UK —Welwyn Garden City
- Full-time
- Azure
- Computer Science
- Engineering
- Employee assistance programme
Admin Project Coordinator / Senior Admin Project Coordinator
Altos Labs —Cambridge
- £42,600 - £62,000 a year
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Full-Stack Software Engineer (C#/.NET, React)
Gearset —Cambridge
- £41,000 - £59,000 a year
- Full-time
- Hybrid work
- Java
- AWS
- C++
- Life insurance
Information Developer
Arm —Cambridge
- £44,500 - £60,100 a year
- Hybrid work
- English
- Machine learning
Software Engineer
Cambridge University Press & Assessment —Cambridge
- £39,200 - £50,900 a year
- Hybrid work
- SQL
- AWS
- University
- Annual leave
14d
Software Engineer - Java
Worldpay (UK) Limited —Cambridge
- Oracle
- Java
- SQL
Quick apply

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Machine Learning Ops Engineer

Affinity Water -
Hatfield

Apply Now

Job details

Fixed term contract
From £60,000 a year

Benefits

Annual leave
Company pension
Employee discount

Qualifications

Kubernetes
Software deployment
DevOps
AWS
Analysis skills
Docker
Machine learning
APIs
Linux
Flask
Communication skills
Python

Full job description

We are looking for an Advanced Data Scientist / established Machine Learning Engineer to help operationalise machine learning across Affinity Water on a 24-month FTC. You will work closely with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments—turning advanced analytics into sustained business value.

What You’ll Do

Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration.
Monitor model performance, data drift, and system health to ensure reliability and availability.
Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security.
Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation.
Ensure governance, compliance, documentation, and reproducibility of ML pipelines and models.
Provide 2nd/3rd line support, manage release cycles, and resolve incidents efficiently.
Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability.

What We’re Looking For

Essential:

5+ years’ experience in MLOps, DevOps, or related roles.
Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance.
Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred).
Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn).
Proficiency in building automated, reliable ML pipelines with structured and unstructured data.
Excellent problem-solving, analytical, and communication skills; self-motivated and organised.
Ability to embed best practices for governance, reproducibility, and operational excellence.

Desirable:

Experience with feature stores, model registries, real-time serving, and model retraining automation.
Integration of ML systems into business applications or APIs.
Exposure to Water Industry data, systems, and processes.

Benefits:

Salary: From £60,000 dependant on skills and experience
Able to work from the Hatfield office at least 2 days per week, with flexibility to spend additional days on-site as required by the programme
Learning and development opportunities, including mentoring and a range of formal courses and open learning resources.
Entry into the company annual bonus scheme
Annual leave from 26-30 rising with length of service, and the option to purchase up to 5 extra days.
A ‘Celebration Day’ in addition to public holidays that people can use to celebrate a religious festival or other occasion that is important to them.
A generous 'double match pension scheme' that doubles the contributions you make (company contribution capped at 12%)
We offer a range of family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave.
Menopause policy and Reasonable Adjustment policy to help everyone perform at their best.
Access to our Wellbeing Centre with support for looking after your physical and mental health.
Discounts at a Range of Retail Outlets and on Dental and Medical Insurance through our Tap4Perks scheme.
Up to 4 Affinity days a year to volunteer in the community.
Life Assurance.

Disability Confident

As a Disability Confident employer, we’re committed to offering interviews to disabled candidates who meet the essential criteria and opt in on the application form. Ask the Talent Acquisition lead for the full job description to see all the criteria. If we have a very high volume of applicants and we’re not able to offer interviews to all, we’ll take a fair and proportionate number of disabled candidates through.

Affinity Water recognises the benefits of greater diversity in our workforce to better reflect the communities we serve. We are committed to building a more inclusive culture where every member of our workforce can thrive.

You can find out what it’s like to work at Affinity Water through our career site https://www.affinitywatercareers.co.uk/ where our colleagues share their career development stories and you can get a feel for our company culture.

Apply Now

Refine Your Search

machine learning engineer jobs in bassingbourn, cam

Machine Learning Ops Engineer

Graduate Engineer - Machine Learning Hardware Design

Machine Learning Senior Software Engineer

Scientist II, Peptide Drug Discovery

Director of Information Security

IT Support Analyst

Software Engineer

Staff Linux Support Engineer

IT solutions Engineer

IT/Technical Support Technician(onsite)

Head of IT

Front End Developer

Staff Applied SoC & Hardware Engineer, Workforce Development

Computational Scientist