{"id":1197034,"url":"https://alion.io/job/lloyds-banking-group-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":449907,"name":"Lloyds Banking Group","domain":"lloydsbankinggroup.com","url":"https://alion.io/company/lloyds-banking-group","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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":["Manchester, United Kingdom","Bristol, United Kingdom","United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72702,"max":80780,"currency":"GBP","period":"year","gross":null,"usd_annual":106818},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dynatrace","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"XGBoost","optional":false},{"name":"AI Agents","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-24T19:08:03Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T23:08:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"End Date\nFriday 09 October 2026Salary Range\n£72,702 - £80,780We support flexible working - click here for more information on flexible working options\nFlexible Working Options\nJob ShareJob Description Summary\n.Job Description\nJOB TITLE: Senior Machine Learning Engineer\nSALARY: £72,702 - £80,780\nLOCATION(S): Bristol, Chester or Manchester\nHOURS: Full time, 35 hours per week\nWORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. \nWhat you’ll be doing\nAs a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers.\nBeing part of the Consumer Data Science team will allow you to gain insight into how the business functions and supports its customers. You will encounter a diverse range of projects, coworkers, and technologies, assisting the team in generating value from machine learning.\nAs the team grows, the role will keep changing. We want to hear from applicants who are driven, inquisitive, eager to learn, and open to exploring new work methods. Candidates should have a strong background in large-scale applications and data platforms.\nDevelop and maintain machine learning systems in Python alongside data scientists and other machine learning engineers. \nTake projects from experimentation through to production, including design and integration with other systems such as continuous integration and continuous delivery tools, application programming interfaces, and Dynatrace. \nEngage with collaborators across business and technical teams to understand requirements and influence decision-making. \nPropose, evaluate and advocate for technology, platform and architecture choices in line with Lloyds Banking Group guidelines. \nDrive excellent engineering standards, consistency and culture across the team through technical leadership and knowledge sharing. \nPlay a leading role in incident management and resolution, working closely with the strategic platform team and business partners. \nProactively find opportunities to improve solutions and present clear plans to deliver them. \nProvide results aligned with data science, model governance, and risk management policies and procedures, sustaining positive connections with specialized colleagues within these domains. \nWhy join us?\nYou’ll join a diverse, energising and informal environment focused on equal opportunity and career progression. The role offers the opportunity to work flexibly and collaboratively, while contributing to machine learning solutions that support the Consumer business and its customers.\nWe take personal and professional development seriously and will support you to make a positive difference to the team and Lloyds Banking Group as a whole. \nWhat we’re looking for\nAdvanced understanding of software engineering best practice, programming concepts, automated testing, continuous integration and continuous delivery, and production deployments. \nCommercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. \nProven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. \nHands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including an understanding of production monitoring. \nExperience with Infrastructure as Code, including Terraform, Kubernetes, application programming interface authentication flows and networking. \nExperience collaborating with central platform, architecture and governance teams to move solutions into live production. \nExperience across the full software development lifecycle, from experimentation through to live production. \nA sound understanding of retail banking, or a desire to learn how to apply your technical skills in this area. \nDesirable skills/experience\nExposure to generative artificial intelligence and agentic tooling, such as Agent Development Kit or LangChain. \nExperience configuring large language models to optimise cost and benefit.\nThis is a place for you\nOur ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We’re committed to creating an environment in which everyone can thrive, learn and develop.\nWe offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme.\nWe provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. \nWe also offer a wide-ranging benefits package, which includes:\nA generous pension contribution of up to 15% \nAn annual performance-related bonus \nShare schemes including free shares \nBenefits you can adapt to your lifestyle, such as discounted shopping \n30 days’ holiday, with bank holidays on top \nA range of wellbeing initiatives and generous parental leave policies \nReady to apply?\nIf you’re motivated by building reliable machine learning solutions, enjoy working across engineering, data and business teams, and want to help deliver better outcomes for customers, we’d love to hear from you.\nAt Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.\nWe keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.\nWe're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.","description_format":"text","description_chars":6962,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["Equity","Flexible schedule","Hybrid work","Parental leave","Professional development"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-09-24T19:08:03Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:3","win:early"],"computed_at":"2026-09-25T02:30:45Z"},"pay":{"stated_usd_annual":106818,"is_top_pay":false},"html_url":"https://alion.io/job/lloyds-banking-group-senior-machine-learning-engineer","json_url":"https://alion.io/job/lloyds-banking-group-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-09-25T02:30:45Z","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":2683,"day_limit":5000,"remaining_today":2317,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}