Senior AI Engineer

Capgemini
Birmingham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior AI/ML Engineer - Crypto/Blockchain

Senior AI Engineer - Remote - LegalTech - Circa. £120k

Senior AI Engineer - Remote - LegalTech - Circa. £120k

Senior Generative AI Engineer

Lead Generative AI Engineer

Senior AI & ML Engineer

We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a track record of success across a wide range of public and private sector clients with whom we have built long-standing relationships of trust and collaboration.

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 offered this position, you will go through a series of pre-employment checks, including:
identity, nationality (single or dual) or immigration status, 3 continuous years employment history, and unspent criminal record check (known as Disclosure and Barring Service).

Your role

We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision and so on, combined with great solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale! We are looking for individuals who can help our clients to identify & define the problems they need solving and explain in a business value focused way how the solutions we deploy would help them achieve their goals.

Your skills and experience

  1. You are driven by impact and eager to lead the end-to-end journey from identifying AI-driven business challenges to deploying solutions that deliver measurable results in production.
  2. You have hands-on experience in data science and/or AI and know when to apply. Experience in Geospatial, GenAI and/or Agentic AI will be highly valued.
  3. You are comfortable coding in Python and SQL, and keen to explore other languages if needed.
  4. You have experience in deploying ML and AI solutions in production on cloud and working with cross-functional teams to achieve that. Experience in AzureML or SageMaker will be highly valued.
  5. You have strong communication skills and proven experience in presenting work to clients and managing stakeholders.

What does ‘Get The Future You Want’ mean for you?

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

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 think tanks 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. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to 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. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organisation of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 167326

Posted on: 21 Feb 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

Birmingham, GB Woking, GB Glasgow, GB Bristol, GB London, GB Manchester, GB

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.