{"id":1603450,"url":"https://alion.io/job/fitch-lead-machine-learning-engineer-london","title":"Lead Machine Learning Engineer (London)","company":{"id":1843543,"name":"Fitch Group","domain":"fitch.group","url":"https://alion.io/company/fitch-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"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":109000,"max_usd":218000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-07T02:00:00Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-02T09:29:11Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineer to be part of a teamthat will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office.\nSpecific Emerging Technology team objectives are:\nGen AI/ML technology implementation with business and product owners \nEmerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance\nLead and support other enterprise-level AI exploration tools and capabilities\nProvide guidance and support for safe development and deployment of AI\nWhat We Offer:\nThis will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products\nThe candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science\nFitch promotes an excellent work culture and is known for providing a good work life balance\nWe’ll Count on You To:\nWork closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions. Ensure sharing best practices and learnings with other squad members. \nDesign and spearhead the development of Gen AI, AI Agents and MLOps platforms, applications, and solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. \nBuild standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards.\nKeep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform.\nEffectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business\nDevelop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation. \nCollaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.\nDesigns and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements. \nActively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions\nBuild with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.\nUse Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems\nWhat You Need to Have:\nWork experience as a ML or AI engineer (5+ years) \nPrior experience developing production quality Python is essential\nDeep understanding of Agentic AI systems and multi-agent architectures\nProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, \nStrong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization)\nPrior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s.\nExperience building/enhancing search and information retrieval systems\nExposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.\nKnowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.\nMaster's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field\nWhat Would Make You Stand Out:\nPassionate about the power of data and predictive analytics to drive better business outcomes for customers\nProven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment\nFamiliarity with credit ratings agencies, regulations, and data products around the world\nOutstanding written and verbal communication skills\nA champion of good code quality and architectural practices.\nStrong interpersonal skills and ability to work proactively and as a team player\nWhy Fitch?\nAt Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.\nEvery team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.\nWe are building incredible things at Fitch and we invite you to join us on our journey.\nFor more information please visit our websites:\nwww.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com | www.CreditSights.com\nFitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.\nFitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.\n#LI-KN1 #LI-GROUP #LI-HYBRID","description_format":"text","description_chars":6664,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T19:36:45Z"}],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.735,"p_room":0.75,"age_days":25,"expected_fill_days":30,"reasons":["conf:9","win:late","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/fitch-lead-machine-learning-engineer-london","json_url":"https://alion.io/job/fitch-lead-machine-learning-engineer-london.json","meta":{"generated_at":"2026-10-03T01:17:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1196,"day_limit":5000,"remaining_today":3804,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}