Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Epam
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Performance Analysis Engineer – Machine Learning

AWS Backend Engineer (Inside IR35)

Senior Golang Developer - 2 Day London - Inside IR35

Data Engineer

Description

ABOUT THE ROLE



As one of the worlds leading engineering and digital transformation services providers, we are looking to expand our very successful Data Practice across Western Europe to meet huge increases in client demand for our services.
We have a very rare opportunity for a data industry leader to join our Data Science, Machine Learning and Artificial Intelligence (ML/AI) Practice with a specific focus on leading and building the business in Western Europe.

You will report to the Global Head of Data Science in the US and ultimately manage and continue to hire a sizeable team as the practice continues to grow.
The role offers exciting opportunities to play a highly visible role in partnership with the global data leadership team to drive growth and our go to market strategy.
We offer a highly entrepreneurial and fast paced environment empowering you to truly effect substantial change and shape the outcomes of our Data Science ML/AI business.
We are open to hiring someone in the UK, Germany, Netherlands or Switzerland and may consider other locations in Western Europe for the right person.

Responsibilities

Lead the Western European Data Science, ML/AI Practice As a part of Global Data Practice team, work with other practices, as well as European Business leadership team, to help expand our footprint across Western Europe Help drive Generative AI, Advanced Analytics, Computer Vision, NLP end-to-end competency development, encompassing capability scaling, opportunity intake, solutioning, staffing, and execution Focus on practical AI application frameworks, including Data, MLOps, and LLMOps as well as actively participate in the development of Responsible AI, ESG, AI Security offerings Assist in the development of enterprise transformation offerings, with pragmatic AI adoption as a major driver for productivity enhancement and the establishment of new revenue streams Drive vertical (business) and horizontal (enablement) cross-organizational, multi-disciplinary teams to champion an AI-first product vision Assist in forming a practical vision for AI's impact on productivity (SDLC/Engineering, customer centers, etc.) Collaborate with client partners up to C-level to bring AI products and programs to life whilst maintaining strong long lasting relationships, ensuring their satisfaction through effective delivery to maximize growth Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations Manage and act as a mentor to a multi-disciplinary European data team of Lead Data Scientists, Data Architects, Data Tech Consultants up to and including Senior Director level fostering their professional growth and development across ML/AI Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate Attend and speak at relevant industry events and conferences showcasing EPAMs extensive and high quality delivery capabilities

Requirements

Bachelor's, Master's or PhD in Computer Science, Data Science or a related field or extensive relevant work experience Very strong hands-on background in data science, understanding of AI/ML technologies and concepts Good grasp on AL/ML operationalization, MLOps, Data Platforms Industry visionary, avid technologist at heart and a senior proven leader who can drive a Data Science, ML/AI Practice in a large consulting organization Extensive work history across Data technology and business with the ability to comfortably interact with colleagues and clients at all levels Proven track record in designing and implementing ML/AI solutions and end-to-end competency development Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects Exceptional ability to drive C-level client engagements and demonstrate the full extent of EPAMs capabilities and market offering Able to think outside the box, drive end-to-end initiatives and engagements and understand the complexity of driving changes in a global multinational organization This role is not exclusively focused on high level strategy/team management but a robust tech background with hands-on experience in the relevant areas highlighted is absolutely essential

We Offer

A competitive group pension plan and protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Cyclescheme, Techscheme and season ticket loans Employee assistance program Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more EPAM Employee Stock Purchase Plan (ESPP) Various perks such as gym discounts, free Wednesday lunch in-office, on-site massages and regular social events Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!