Machine learning Work, Jobs in Snailwell, Cam (with Salaries)

Research Associate (Fixed Term)
University of Cambridge —Cambridge
- £37,694 - £46,049 a year
- University
- Machine learning
- Analytics
2d
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Research Associate x 2 in Deep Learning for Population genomics and biodiversity Forecasting (Fixed Term)
University of Cambridge —Cambridge
- £37,694 - £46,049 a year
- Remote
- Doctoral degree
- University
- Mentoring
2d
Structural Geologist - Critical Minerals Exploration
Alt Carbon Pvt Ltd —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
Quick apply
2d
Technology Strategist
Aveva —Cambridge
- Full-time
- Hybrid work
- Analysis skills
- In-person
- Leadership
- Annual leave
2d
Growing AI PhD Studentship
University of Cambridge —Cambridge
- Computer Science
- Engineering
- Machine learning
2d
Embedded Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- System design
- Bachelor's degree
10d
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Research
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
Vulnerability Researcher - Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Leadership
- Life insurance
Quick apply
Research Assistant in Advanced Manufacturing and Materials Grade
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Engineering
- Maintenance
- Research
2d
Computational Physics & Signal Processing Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
AI Engineer (Advisory)
WSP —Cambridge
- Part-time
- Hybrid work
- Azure
- AI
- Flexitime
- Work from home
Senior MLOps Engineer
Abcam —Cambridge
- Full-time
- Machine learning
- In-person
- AI
- Annual leave
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Data Partnerships Project Manager
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Annual leave
- Life insurance
Quick apply
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Software development
- AI
- Annual leave
- Work from home
Quick apply
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- Machine learning

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Research Associate (Fixed Term)

University of Cambridge -
Cambridge

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Job details

Fixed term contract
£37,694 - £46,049 a year
2 days ago

Qualifications

Machine learning
Machine learning modelling
Bioinformatics
Analytics

Full job description

A postdoctoral Research Associate post is available in the Cichlid Eco-Evo-Devo Group directed by Dr Emília Santos in the Department of Zoology at the University of Cambridge.

The applicant will work on PredictingSPOTS, a recently awarded ERC Consolidator Grant investigating the genomic and developmental basis of colour pattern diversification and convergence in East African cichlid fishes. The project combines genetic mapping, spatial and single-cell transcriptomics, and data-driven mathematical modelling to understand how genomic and developmental mechanisms shape trait evolution. The post will focus on egg-spots, a sexually selected pigmentation pattern that has evolved repeatedly and independently across cichlid radiations, offering a tractable system to test whether convergent phenotypes arise through shared or independent developmental paths.

The principal aim for this post is to map the transcriptomic and regulatory basis of egg-spot development and its convergent evolution across a panel of cichlid species, combining spatial transcriptomics and single-nuclei RNA-seq/ATAC-seq with gene regulatory network inference. Strong bioinformatics/computational skills and demonstrable experience analysing high-throughput sequencing data will be essential, as will strong quantitative and statistical reasoning. Experience with spatial transcriptomics, single-nuclei sequencing, or gene regulatory network inference -including machine learning approaches to network or enhancer prediction - is highly desirable, as is a background in evolutionary developmental biology. Candidates will also have the opportunity to test predictions arising from this work using genome editing, in collaboration with the group's Research Laboratory Technician, and to contribute directly to the project's mathematical modelling if interested, though this is not an essential requirement of the role.

The successful candidate will join the Cichlid Eco-Evo-Devo lab, a team of nine members, including PhD students and postdocs and will work closely with the group's mathematical modelling collaborators (Dr. Berta Verd and Dr. Alexandria Volkening). Candidates will need to be highly motivated and develop a good understanding of the nature of the data and the project's scientific aims. Close teamwork and a collaborative spirit will be essential, but team members will be expected to demonstrate scientific independence matching their technical expertise. There will be opportunities to contribute to training new team members and to general project management, as well as to participate in public engagement activities.

For more information, please refer to the Further Particulars document.

Deadline for applications is midnight at 16th August 2026. Interviews are due to be conducted on 14th September 2026 (subject to change)

Fixed-term: The funds for this post are available for up to 36 months.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Flexible working requests will be considered.

Informal enquiries are welcomed and should be directed to: Dr Emilia Santos [email: [email protected]]

If you have any queries regarding the application process, please contact Zoology HR Office [email: [email protected]]

Please quote reference PF50333 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

Apply Now

Refine Your Search

machine learning jobs in snailwell, cam

Research Associate (Fixed Term)

Software Engineer (Machine Learning)

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Staff Engineer (ML Engineer)

Research Associate x 2 in Deep Learning for Population genomics and biodiversity Forecasting (Fixed Term)

Structural Geologist - Critical Minerals Exploration

Technology Strategist

Growing AI PhD Studentship

Embedded Software Development Engineer, Ring

Applied Scientist - LLM, Alexa

AI/ML Research Consultant

Vulnerability Researcher - Consultant

Research Assistant in Advanced Manufacturing and Materials Grade

Computational Physics & Signal Processing Consultant

AI Engineer (Advisory)

Senior MLOps Engineer

Senior Engineer (ML Engineer)

Data Partnerships Project Manager

Agentic AI Engineer (life sciences)

Applied Scientist, Silicon and Systems Group Edge AI

I want to receive the latest job alerts for machine learning in snailwell, cam

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