Machine Learning Engineering Manager

Tbwa Chiat/Day Inc
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid

Software Engineering Manager | £110k – Java, Vue.js & AWS

Senior Data Specialist

Machine Learning Manager, Munich

R&D Project Manager - Machine Learning - Cambridge

R&D Project Manager - Machine Learning - Cambridge

1st Floor The Rex Building, 62-64 Queen Street,London, England, EC4R 1EB Location: London, UK (Hybrid) Type:Full-Time Who we are Artefact is a new generation of data serviceprovider, specialising in data-driven consulting and data-drivendigital marketing. We are dedicated to transforming data intobusiness impact across the entire value chain of organisations.With skyrocketing growth, Artefact has established a globalpresence with over 1,500 employees across 23 offices worldwide. Ourdata-driven solutions are designed to meet the specific needs ofour clients, leveraging our deep AI expertise and innovativemethodologies. Our cohesive teams of data scientists, engineers,and consultants are focused on accelerating digital transformation,ensuring tangible results for every client. Role Overview We arelooking for a Machine Learning Manager to support a team of datascientists and ensure the successful delivery of our projects. Theideal candidate will be willing to be hands-on with projects,meaning involvement in model design, coding, and developingend-to-end data solutions, including data preprocessing,visualization, and deploying models into production environments.One of the key components of the role is to supervise junior andsenior data scientists on code and delivery. Therefore, we ask allapplicants to submit an example of code (a repository, a pullrequest, or something similar) to have an estimate of the hands-oncoding ability. This role is crucial in - Driving project successby providing clear direction, solving complex, industry-drivenproblems, and ensuring high-quality results. - Leading technicalproject delivery through hands-on prototyping, design, and coding.- Leading and upskilling a team of data scientists. Keyresponsibilities - Lead and deliver impactful data transformationprojects for clients. - Build strong client relationships,leveraging your technical expertise to drive operationaltransformation. - Participate in international projects withopportunities for business travel. - Ensure successful projectdelivery and communicate these successes across the company. -Foster continuous learning and growth within the data science team.- Provide mentorship, ensuring high work standards and supportingteam well-being. - Demonstrate technical leadership and contributeto institutional knowledge. - Embody Artefact’s values and inspireothers to do the same. Qualifications: Education & experiencerequired Essential skills: - Degree in Computer Science,Engineering, Mathematics, Statistics, or a related field. - Strongprogramming skills in Python. - Experience working with large-scaledatasets and database systems (SQL and NoSQL). - Understanding ofsoftware development lifecycle and agile methodologies. - Provenexperience designing, developing, and deploying machine learningmodels. - Experience with debugging ML models. - Experience withorchestration frameworks (e.g. Airflow, MLFlow, etc). - Experiencedeploying machine learning models to production environments. -Knowledge of MLOps practices and tools for model monitoring andmaintenance. - Familiarity with containerization and orchestrationtools like Docker and Kubernetes. - Hands-on experience with cloudplatforms such as AWS, Google Cloud Platform, or Microsoft Azure. -Demonstrated ability to identify, analyse, and solve complextechnical problems in innovative ways. - Commitment to stayingupdated with the latest advancements in machine learning andrelated technologies. - Professional experience in a consumermarketing context. Why Join Us: - Artefact is the place to be: comeand build the future of marketing. - Progress: every day offers newchallenges and new opportunities to learn. - Culture: join the bestteam you could ever imagine. - Entrepreneurship: you will bejoining a team of driven entrepreneurs. We won’t give up until wemake a huge dent in this industry! What we are looking for: - ADoer: You get things done and inspire your team to do the same. -An Analyst: You love data and believe every decision should bedriven by it. - A Pragmatist: You have a hacker mindset and alwaysfind quick wins. - A Mentor: Your clients and teams naturally seekyour advice. - An Adventurer: You’re an entrepreneur constantlylooking for problems to solve. #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.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.