National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science & ML Engineer

Dept
London
1 week ago
Create job alert

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around the world across different services – from commerce, to full-funnel media, content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world – and doing this alongside an experienced team.
JOB PURPOSE
We are seeking a talented and passionate Data Scientist & ML Engineer to join our growing team. As a Data Scientist & ML Engineer, you will play a crucial role in designing, developing, and deploying innovative AI solutions for our clients across various industries. You will collaborate with a team of experts to solve complex business challenges using cutting-edge AI technologies.
KEY RESPONSIBILITIES
Design and architect scalable ML solutions using statistical modeling, MLOps frameworks and cloud technologies
Build machine learning models for marketing attribution, customer prediction, segmentation, and recommendation systems with deep understanding of customer experience and marketing use-cases
Implement end-to-end ML pipelines including feature engineering, model training, deployment, and monitoring
Perform advanced statistical analysis including A/B testing, causal inference, and experimental design
Deploy production ML systems with automated retraining, drift detection, and real-time inference capabilities
Work closely with data engineers, consultants and clients to ensure seamless integration and deployment of ML solutions that create business impact
Communicate complex technical solutions to clients in an understandable way, delivering progress reports and demonstrations
Consult and guide clients on data and ML implementation, serving as a trusted advisor on data-driven decision making
WHAT WE ARE LOOKING FOR
MSc degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field
3+ years of experience in data science and/or ML engineering roles
Strong foundation in statistics and mathematics including probability theory, hypothesis testing, regression analysis, and optimization
Understanding of customer experience principles and marketing analytics including customer journey mapping, conversion optimization, and marketing funnel analysis
Proficiency in Python with extensive experience in data science & AI libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc)
Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar
Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
Experience with cloud platforms (AWS, Azure, GCP) and their ML services (SageMaker, Azure ML, Vertex AI)
Knowledge of MLOps tools including Docker, Kubernetes, MLflow, Kubeflow, or similar platforms
Experience with version control (Git) and collaborative development practices
Excellent analytical thinking and problem-solving abilities
Strong communication skills with ability to explain technical concepts to business audiences
WE OFFER:
A flexible, hybrid working policy (2 days from the office, depending on location).
An excellent salary based on experience and equal pay policies
Pension, free private healthcare, mental health support, and company sick pay scheme.
Help getting you to work with a season ticket loan and cycle to work scheme.
Enhanced family friendly policies to support new parents.
Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations.
Inspirational Talks, bringing the outside in with regular guest speakers and events.
Learning and Development, supporting your growth with continuous opportunities to learn and advance.
Buddy Programme: You will be paired with a ‘Buddy’ to help you through your first weeks’ at DEPT.
A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
Awesome clients. Whether big or small, local or global — at DEPT you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities.
WHO ARE WE?
We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.
Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, and your team, and giving you the autonomy to solve our client's problems, no matter where you are in the world.
DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified.
DIVERSITY, EQUITY & INCLUSION
At DEPT, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.
Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.
We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.
Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here .
Apply for this job

*
indicates a required field
First Name *
Last Name *
Preferred First Name
Email *
Phone *
Location (City)
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Website or Portfolio (if applicable) Select...
Are you currently located in the UK and able to attend the London or Manchester office 2 times per week? * Select...
Do you have the legal right to work in The UK without VISA sponsorship? * Select...
Please add further 'right to work' details (if applicable)
Select...
Please confirm that you have read and hereby agree and accept the terms of ourPrivacy Statement .

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science & ML Engineer

Data Science & ML Engineer

Data Science & ML Engineer

Data Science & ML Engineer

Data Science & ML Engineer

Data Science & ML Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.