{"id":2821262,"url":"https://alion.io/job/london-stock-exchange-group-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":5734,"name":"London Stock Exchange Group","domain":"lseg.com","url":"https://alion.io/company/lseg","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":164,"ghost_share":0,"stale_share":0.921,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom","Nottingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":224000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SHAP","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-11-05T14:19:57Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"About Us:\nLSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.\nLSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.\nOur People:\nPeople are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.\nWe know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.\nThe Role:\nWe are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise-grade standards.\nYou will contribute to the strategic direction of our ML platform-spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross-account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework.\nThis is a highly hands-on, highly technical, principal-level role that combines architectural vision with deep practical expertise in ML engineering and AWS-native MLOps.\nKey Responsibilities\nTechnical Leadership & Architecture\nDefine the end-to-end ML architecture for the matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems.\n\nLead adoption of best-in-class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment.\n\nPartner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architecture and enterprise-grade ML governance.\n\nChampion engineering standards for model quality, documentation, observability, and platform resilience.\n\nFeature Engineering & Data Architecture\nArchitect highly scalable, production-ready feature pipelines within Lakehouse environments.\n\nSet the technical direction for fallback and resilience strategies (e.g., fallback pipelines).\n\nEstablish and enforce data-quality guardrails, validation schemas, and monitoring frameworks.\n\nDrive adoption and standards for enterprise feature stores.\n\nModel Development & Technical Excellence\nLead the design of ranking, scoring, and similarity models tailored to the matching platform requirements.\n\nDefine model calibration, scoring logic, confidence thresholds, and optimisation strategies.\n\nMentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost.\n\nReview and approve technical designs for complex modeling workflows.\n\nExplainability & Regulatory-Grade Reasoning\nEstablish explainability standards across the ML stack, using SHAP or equivalent frameworks.\n\nDefine patterns to generate regulator-ready reason codes, aligned with compliance requirements.\n\nEnsure explainability artefacts are accurate, robust, and traceable across model versions.\n\nML Deployment & Automation (MLOps)\nArchitect automated training, deployment, and retraining pipelines using AWS SageMaker.\n\nSet standards for model registry usage, automated approvals, and rollback orchestration.\n\nDrive infrastructure-as-code and CI/CD maturity for ML systems across multiple environments.\n\nLead design of enterprise-wide weight-update patterns and lineage-aware deployment strategies.\n\nInference Runtime & Cross-Account Productionisation\nArchitect low-latency, high-throughput inference services that meet strict matching platform SLAs.\n\nLead the design of secure cross-account IAM patterns for model consumption.\n\nOwn end-to-end telemetry design, including scoring metrics, latency, error analytics, and SLOs.\n\nPartner with platform teams to optimise cost, scale, and reliability of inference endpoints.\n\nMonitoring, Drift Detection & Observability\nDefine observability standards for feature drift, concept drift, performance degradation, and data integrity.\n\nLead the creation of dashboards, benchmarks, and automated alerting across the ML ecosystem.\n\nEnsure telemetry pipelines adhere to privacy, data minimisation, and compliance policies.\n\nDrive adoption of proactive failover, shadow-mode testing, and continuous validation patterns.\n\nSecurity, Compliance & ML Governance\nSet and enforce ML-specific security standards including data minimisation, encryption, and PII handling.\n\nOversee creation of Model Cards, lineage artefacts, and compliance documentation.\n\nEnsure ML systems meet governance standards for auditability, reproducibility, versioning, and traceability.\n\nCollaborate with InfoSec and Risk teams to define ML governance frameworks and secure cross-environment workflows.\n\nTesting, Validation & Performance Engineering\nLead validation strategies using golden datasets, behavioural tests, and benchmark suites.\n\nArchitect performance testing for latency-sensitive inference paths and model hot paths.\n\nEstablish standards for A/B testing, shadow deployments, canary rollouts, and controlled experiments.\n\nPrincipal-Level Skills & Experience\nEssential\nProven track record architecting and delivering production ML systems at scale in enterprise environments.\n\nDeep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services.\n\nExpert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).\n\nStrong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management.\n\nAdvanced experience designing explainability systems, reason codes, and governance artefacts.\n\nExpertise in low-latency inference architectures and real-time model serving.\n\nStrong grounding in drift detection, telemetry pipelines, observability patterns, and model QA.\n\nExperience shaping ML security practices, including cross-account IAM, data minimisation, and PII-safe design.\n\nAbility to influence architecture, mentor senior engineers, and set long-term technical direction.\n\nNice to Have\nExperience building or leading feature store adoption.\n\nBackground in ranking, search relevance, entity matching, or similarity modelling.\n\nExperience designing or governing multi-account AWS ML platforms.\n\nKnowledge of distributed training, GPU/accelerator optimisation, and scaling strategies.\n\nBachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent degrees.\n\nMasters or PhD or equivalent experience in STEM desirable but not essential\n\nCareer Stage:\nManagerLondon Stock Exchange Group (LSEG) Information:\nJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.\nLSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.\nOur purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.\nWorking with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.\nWe are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.\nYou will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.\nLSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.\nPlease take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.\nIf you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.","description_format":"text","description_chars":11119,"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":[]},"benefits":["Paid volunteering days","Retirement plans"],"hiring_locations":[{"name":"China","iso":"CN","kind":"region"},{"name":"India","iso":"IN","kind":"region"},{"name":"Japan","iso":"JP","kind":"region"},{"name":"Australia","iso":"AU","kind":"region"},{"name":"Indonesia","iso":"ID","kind":"region"},{"name":"Malaysia","iso":"MY","kind":"region"},{"name":"New Zealand","iso":"NZ","kind":"region"},{"name":"Pakistan","iso":"PK","kind":"region"},{"name":"Philippines","iso":"PH","kind":"region"},{"name":"South Korea","iso":"KR","kind":"region"},{"name":"Taiwan","iso":"TW","kind":"region"},{"name":"Thailand","iso":"TH","kind":"region"},{"name":"Vietnam","iso":"VN","kind":"region"},{"name":"American Samoa","iso":"AS","kind":"region"},{"name":"Bangladesh","iso":"BD","kind":"region"},{"name":"Bhutan","iso":"BT","kind":"region"},{"name":"Brunei Darussalam","iso":"BN","kind":"region"},{"name":"Cambodia","iso":"KH","kind":"region"},{"name":"Cook Islands","iso":"CK","kind":"region"},{"name":"East Timor","iso":"TL","kind":"region"},{"name":"Fiji","iso":"FJ","kind":"region"},{"name":"French Polynesia","iso":"PF","kind":"region"},{"name":"Guam","iso":"GU","kind":"region"},{"name":"Kiribati","iso":"KI","kind":"region"},{"name":"Laos","iso":"LA","kind":"region"},{"name":"Maldives","iso":"MV","kind":"region"},{"name":"Marshall Islands","iso":"MH","kind":"region"},{"name":"Micronesia","iso":"FM","kind":"region"},{"name":"Mongolia","iso":"MN","kind":"region"},{"name":"Nauru","iso":"NR","kind":"region"},{"name":"Nepal","iso":"NP","kind":"region"},{"name":"New Caledonia","iso":"NC","kind":"region"},{"name":"Niue","iso":"NU","kind":"region"},{"name":"Norfolk Island","iso":"NF","kind":"region"},{"name":"Northern Mariana Islands","iso":"MP","kind":"region"},{"name":"Palau","iso":"PW","kind":"region"},{"name":"Papua New Guinea","iso":"PG","kind":"region"},{"name":"Pitcairn Islands","iso":"PN","kind":"region"},{"name":"Samoa","iso":"WS","kind":"region"},{"name":"Solomon Islands","iso":"SB","kind":"region"},{"name":"Sri Lanka","iso":"LK","kind":"region"},{"name":"Tokelau","iso":"TK","kind":"region"},{"name":"Tonga","iso":"TO","kind":"region"},{"name":"Tuvalu","iso":"TV","kind":"region"},{"name":"Vanuatu","iso":"VU","kind":"region"},{"name":"Wallis and Futuna","iso":"WF","kind":"region"},{"name":"Hong Kong","iso":"HK","kind":"region"},{"name":"Singapore","iso":"SG","kind":"region"},{"name":"Macau","iso":"MO","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets","Stock Exchanges & Market Infrastructure","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-18T17:35:16Z"}],"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; 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