Deep learning engineer Work, Jobs in Oxford, Oxf (with Salaries)

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Engineering Science Consultant - Life Sciences (Graduate)

Capgemini -
Abingdon

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Job details

Permanent
11 days ago

Qualifications

TensorFlow
Dashboard visualisation
Doctoral degree
Engineering
Data structures
Master's degree
Machine learning
Biochemistry
Machine learning modelling
Data analytics
Data science
AI

Full job description

Your Role

As an Engineering Science Consultant within our Life Sciences team, you will combine scientific expertise with data science / AI and software skills to help leading pharmaceutical, biotechnology and consumer health organisations unlock value from their scientific data.

Working alongside bio/chemo informaticians, scientists, software engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities.

In this role you will play a key role in:

Collaborating with research scientists to understand scientific problems and translate them into data-driven solutions
Communicating technical findings and recommendations to both scientific and business audiences
Developing data pipelines and analytical workflows for scientific and research datasets
Applying machine learning and AI techniques to solve complex life sciences challenges
Working with biological, chemical, omics, laboratory, clinical and experimental data
Creating visualisations, dashboards and decision-support tools for scientific stakeholders
Creating robust, scalable software solutions that integrate data science capabilities into production environments
Collaborating with industry experts to understand and solve complex problems using data and insights
Implementing and optimizing algorithms for data processing, feature extraction, and model training

Your Profile

Degree, Master's or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics, Biology or Biochemistry
Ability to communicate technical concepts clearly to diverse stakeholders
Analytical and problem-solving capabilities
Experience working with scientific, biological or chemical datasets
Experience applying data analytics, machine learning or statistical techniques to real-world problems

Desirable

Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorch
Understanding of data structures, algorithms, and software design principles

If you're excited about this role but don’t meet every requirement, we stillencourage you to apply, your uniqueexperience could be just what we need.

Make it real – what does it mean for you?

Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies)
Open access to digital learning platforms
Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.

Capgemini. Make it real.

Need to know

All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.

Location: Abingdon or London

Flexible and hybrid working: We believe great work happens when people have the flexibility to work in ways that help them perform at their best. We support a hybrid approach that balances collaboration, client needs and individual circumstances, empowering you to manage your work with greater flexibility and autonomy.

Impactful scientific and engineering challenges: Work on cutting-edge engineering and R&D programmes for some of the world's leading organisations.

Continuous learning: Access world-class training, certifications and technical development opportunities.

Career acceleration: Clear progression pathways across consulting, technical leadership and scientific specialisms.

Continuous growth and development: We invest in your long-term success through regular coaching, constructive feedback, mentoring opportunities and meaningful career conversations. You'll work closely with your manager and colleagues to identify development opportunities, build new skills, and shape a career path aligned to your ambitions.

Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth.

Free access to learning platforms: Free access for all, to world-class learning assets and curated programs from Harvard Business Review, Coursera, Udemy, Microsoft, AWS, Google and many more.

Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications.

You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday lifeand will be part of your working reality. We havebuilt a representative and welcoming environment, foreveryone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

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deep learning engineer jobs in oxford, oxf

Engineering Science Consultant - Life Sciences (Graduate)

Core Network Senior Test Engineer

Chief Engineer / Architect - Nuclear

Graduate Civil Engineer - Water - 2027 (Reading)

Team Leader - Workflow Design and Integration

AI Solution Architect EU - Defence

Graduate Mechanical Engineer - Buildings - 2027 (Reading)

Solution Director: Engineering

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