{"id":3893236,"url":"https://alion.io/job/compare-the-market-machine-learning-engineering-manager","title":"Machine Learning Engineering Manager","company":{"id":1762840,"name":"Compare the Market","domain":"comparethemarket.com","url":"https://alion.io/company/comparethemarket-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Peterborough, United Kingdom","London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-14T15:30:30Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-08T12:30:32Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Machine Learning Engineering Manager\nFunction: Data & AI Solutions\nLocation: Hybrid, London office\nCurious about what’s next?\nSo are we. Join Compare the Market and help to make financial decision making a breeze for millions.\nAt Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.\nWe’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.\nWe’d love you to be part of our journey.\nCompare the Market is at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.\nAs a Machine Learning Engineering Manager in our Data & AI Solutions team, you will lead a team building and owning production systems at the heart of our AI platform. That means real-time inference APIs serving millions of customers, batch data products powering intelligent decision-making, and LLM-based agentic solutions spanning both customer-facing products and internal tools that shape how the wider team works. These are not simple systems - and building them well, keeping them healthy, and continuously raising the engineering bar is what this team exists to do.\nYou will set technical direction, develop your team, and work closely with data, product, commercial and engineering colleagues to ensure the intelligence your team builds has a real effect on the business.\nSome of the great things you'll be doing:\nLeading Delivery of ML and AI Systems\nLead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference APIs, batch data products, and LLM-based agentic solutions\nCollaborate closely with data scientists to move prototypes into high-quality production systems, maintaining quality and performance as complexity scales \nDrive team planning, estimation, and sprint delivery - ensuring projects are delivered on time and to a high standard \nEnsure every system your team ships connects to a real outcome and has a mechanism to improve over time \nGrowing Your Team\nDevelop your team of machine learning engineers through regular feedback, technical mentorship and honest career conversations\nContribute to hiring, bringing together a group of diverse people who combine technical rigour with curiosity and commercial awareness \nFoster a team environment where ambition and delivery reinforce each other \nContribute to standards and practices across the wider Data & AI Solutions chapter \nTechnical Leadership\nSet the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation \nTake ownership of how the team approaches production health: knowing when a system is degrading, having a plan to address it, and ensuring monitoring and observability are built in from the start \nContribute to the design and evolution of our ML and AI tooling and shared platform components \nBe hands-on in design sessions, code reviews, and architectural decisions where your input matters \nGuide your team through a fast-moving tooling landscape spanning classical ML, LLM-based systems, and agentic AI patterns - knowing when each is the right approach \nChampion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable \nEncourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output \nStakeholder Partnership\nWork closely with data, product, commercial and engineering leads to translate strategic priorities into well-scoped work \nRepresent your team's work and capability to senior stakeholders, building confidence in what the team delivers and how it operates \nHelp shape platform direction by feeding back requirements from applied ML delivery \nWhat we'd like to see from you:\nThe Essentials\nExperience leading engineering teams focused on machine learning, ML platforms and AI systems \nProven track record deploying and managing ML and AI systems in production at scale - including real-time inference, batch data products, and LLM-based solutions\nStrong Python and ML and AI engineering fundamentals - sufficient to assess your team's work and contribute directly when needed \nUnderstanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD)\nClear communication: able to make technical work legible to commercial and product audiences \nExperience working in agile environments with clear accountability to delivery \nA degree in a quantitative discipline, or equivalent experience with production ML and AI systems - we are interested in what you can do, not where you studied \nHighly Valued\nHands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain \nFamiliarity with multi-step AI patterns - building systems where models plan, retrieve information, and take sequences of actions \nUnderstanding of experimentation at scale and the infrastructure needed to run it well \nExperience building or managing internal ML platforms, experimentation frameworks, or feature stores \nInterest in responsible AI and model governance practices \nWhy Compare the Market?\nWe’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.\nWe believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.\nIf you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.","description_format":"text","description_chars":6483,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-06T22:14:02Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.634,"p_room":0.45,"age_days":54,"expected_fill_days":30,"reasons":["conf:6","win:tail"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/compare-the-market-machine-learning-engineering-manager","json_url":"https://alion.io/job/compare-the-market-machine-learning-engineering-manager.json","meta":{"generated_at":"2026-11-09T00:02:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":131,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1762840},"rest":"https://alion.io/mcp/rest/get_company?id=1762840"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcompare-the-market-machine-learning-engineering-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcompare-the-market-machine-learning-engineering-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcompare-the-market-machine-learning-engineering-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/compare-the-market-machine-learning-engineering-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcompare-the-market-machine-learning-engineering-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3893236}},{"tool":"search_jobs","arguments":{"company":"comparethemarket.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3893236},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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