Senior Machine Learning Engineer - Messaging Platform
About this role
Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery You have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners You have worked on complex optimization problems such as ranking systems or multi-objective decision-making You bring hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks You understand experimentation deeply and can design reliable tests in environments with interacting metrics You are able to analyze results using approaches like causal inference or metric decomposition when needed You have experience with or curiosity about reinforcement learning and long-term optimization systems You enjoy working across disciplines and navigating ambiguity while shaping strategy and direction This role is based in London and Stockholm We offer you the flexibility to work where you work best!
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a senior Data, AI & Machine Learning role in London, advertised as hybrid, splitting time between home and the office.
About hiring at Lifeatspotify
Lifeatspotify has 14 other live technology roles on its careers page, across Software Engineering, Data, AI & Machine Learning and IT Leadership & Management. Of those, 33% are advertised as fully remote and 67% as hybrid. Elsewhere in its adverts Lifeatspotify asks for SQL, TypeScript, React, Java and TensorFlow. See all Lifeatspotify roles, salaries and stack.
How this role compares to the market
118 live UK roles list PyTorch right now, from 56 employers. 31% are advertised as remote. Browse PyTorch roles.
1,142 live UK roles list Machine Learning right now, from 287 employers. The median advertised salary is £91,755; 41% are advertised as remote. Browse Machine Learning roles.
London has 4,322 live IT vacancies across 1,366 employers, with a median advertised salary of £70,000. Browse London roles.
Senior roles make up 1,633 of the live UK IT market and advertise a median of £80,000.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Lifeatspotify's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.