Senior Machine Learning Developer

England

Capgemini
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About the job you're considering

We are seeking a highly motivated and experienced Senior AI/ML Developer to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design, development, and deployment of AI/ML models to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML solutions.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employmentchecks, including:

identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

Your role


• Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.

• Perform feature engineering and selection to optimize model performance.

• Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.

• Train, evaluate, and optimize models using machine learning techniques

• Deploy models to production environments, ensuring robustness and scalability.

• Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.

• Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.

• Stay updated on the latest advancements in AI/ML technologies.

• Lead and mentor junior team members.

You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.

Your skills and experience


• 5+ years of experience in AI/ML development

• Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)

• Proficiency in Python, R, or other relevant programming languages.

• Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).

• Ability to work independently and lead projects from inception to deployment.

• MSc or PhD in Computer Science, Artificial Intelligence, or related field is preferred.

Don't meet every single requirements? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace so if you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, we encourage you to apply anyway.

There are no nationality or residency restrictions, although if you have resided outside of the UK within the last 3 years, further checks may be required.

There are other criteria and checks required for BPSS, and throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

What does 'Get The Future You Want ' mean for you?

You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Ref. code 176763-en GB

Posted on 28 Feb 2025

Experience level Experienced Professionals

Contract type Permanent

Business unit Engineering and RandD Services

Professional communities Products & Systems Engineering

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Date Posted: 14 May 2025
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