{"id":922663,"url":"https://alion.io/job/aecom-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":3394,"name":"AECOM","domain":"aecom.com","url":"https://alion.io/company/aecom","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":74,"open_postings":738,"ghost_share":0.022,"stale_share":0.966,"repost_share":0.022,"time_to_fill_p50_days":35,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Terraform","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-14T23:30:11Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-05T19:50:25Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Work with Us. Change the World.\nAt AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.\nThere has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.\nWe're one global team driven by our common purpose to deliver a better world. Join us.\n In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.\nWith our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms.\nThere has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.\nWe invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.\nWhat You’ll Do\nAs part of our AI Engineering team, you will serve as a senior individual contributor, owning the infrastructure and delivery workflows that move machine learning from experimentation into reliable production systems. This is a high-ownership role where you will influence technical direction, architecture, developer velocity, and production stability.\nOwn and evolve production ML infrastructure for training, deployment, serving, and monitoring\nBuild and improve CI/CD, automation, and model delivery workflows used across the engineering team\nDevelop Python services, APIs, and platform tooling that support production ML workloads\nOwn reliability, observability, performance, availability, and security across production ML systems\nTroubleshoot complex production issues across software, infrastructure, and ML workflows\nDrive architecture decisions and partner with ML engineers, data engineers, and product teams to deliver scalable AI products\n Must-Have Qualifications\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)\nDemonstrated experience deploying, operating, monitoring, and supporting machine learning systems in production\nExperience building and owning ML pipelines, model deployment, serving, monitoring, or lifecycle infrastructure\nSolid programming skills in Python, plus experience with web libraries such as FastAPI, Flask, or Django\nHands-on experience with containerization (Docker), CI/CD pipelines, and cloud environments (we use Azure)\nExperience making architecture decisions and troubleshooting complex production systems for reliability, scalability, and performance\nAbility to operate independently, take end-to-end ownership, and provide technical leadership within a highly collaborative engineering team\nStrong communication skills and a collaborative mindset\nPreferred Skills\nExperience with Kubernetes and infrastructure as code, such as Terraform\nExperience with ML lifecycle tooling such as MLflow, Weights & Biases, or similar platforms\nKnowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry\nExperience with distributed ML workloads, model serving, GPU infrastructure, or performance optimization\nBackground in reinforcement learning, optimization, or generative AI\n Our Hiring Process\n25-minute screening call\nTake-home challenge: A hands-on task to assess your problem-solving and technical skills\nCombined technical and cultural interview (in-person)Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge\nCulture fit: 30-minute meeting with our leadership team\n\nWhy Join Us?\nWork on real-world problems where AI creates measurable impact.\nBe part of a team where your work matters, and your ideas become real.\nCollaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.\nContribute to making the built environment smarter and more sustainable.\nAt AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.\nAbout AECOM\nAECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.\nAECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.\nWhat makes AECOM a great place to work\nYou will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects-both in your local community and on a global scale-that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community-where you have the freedom to grow in a world of opportunity.\nWe are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address  if you would like to apply through the Disability Confident Interview Scheme.\nAll your information will be kept confidential according to EEO guidelines.","description_format":"text","description_chars":7385,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Retirement plans"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Civil & Structural Engineering","Urban Planning","Architecture","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-15T02:29:58Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-11-05T06:29:30+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.559,"p_room":0.44,"age_days":51,"expected_fill_days":35,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/aecom-senior-mlops-engineer","json_url":"https://alion.io/job/aecom-senior-mlops-engineer.json","meta":{"generated_at":"2026-11-05T20:20:39Z","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":27601,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":3394},"rest":"https://alion.io/mcp/rest/get_company?id=3394"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faecom-senior-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Faecom-senior-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Faecom-senior-mlops-engineer"},{"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/aecom-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faecom-senior-mlops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":922663}},{"tool":"search_jobs","arguments":{"company":"aecom.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":922663},"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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