{"id":445491,"url":"https://alion.io/job/zaizi-machine-learning-implementation-engineer-ai-sfia4","title":"Machine Learning Implementation Engineer, AI (SFIA4)","company":{"id":172541,"name":"Zaizi","domain":"zaizi.com","url":"https://alion.io/company/zaizi","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":93,"open_postings":14,"ghost_share":0,"stale_share":0.071,"repost_share":0,"time_to_fill_p50_days":171,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cheltenham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":162000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-02-18T00:00:00Z","employer_posted_date":"2026-02-18","last_verified_at":"2026-11-01T18:08:03Z","board_verified":true,"closed_at":null,"days_open":256,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":256},"description":"Role Overview\nDept: Applied AI Team\nTerm: Permanent\nLocation: Cheltenham\nDV Clearance: Required & British\nWork on exciting public sector projects and make a positive difference in people’s\nlives. At Zaizi, we thrive on solving complex challenges through creative thinking\nand the latest tools and tech.\nAs a Machine Learning Implementation Engineer, you’ll be responsible for taking AI\nmodels and algorithms from the research phase and maturing them into robust,\nproduction-ready software. Your focus is on increasing the Technology Readiness\nLevel (TRL) of our AI solutions, ensuring they are scalable, reliable, and effectively\nintegrated into business workflows to automate tasks and gain insights from\ndata.\nKey responsibilities include refining model code for performance, ensuring\nsoftware maturity, and solving complex technical hurdles during the transition\nfrom prototype to product. You will influence technical decisions within the team,\nmentor junior members, and handle complex, non-routine problems.\nOur work culture is inclusive, modern, friendly, and democratic. We look for bright,\npositive-thinking individuals with a can-do attitude. Our people enjoy challenging\nthemselves to be the best at what they do - if that sounds like you, you'll fit right\nin!\nRequirements\nRole Objectives\nThese are the expected objectives for this role. We are happy to discuss this\nfurther during the interview process with the successful candidate.\nModel Maturation & Delivery: Design, build, and refactor complex machine\nlearning models, ensuring they move from experimental stages to high-\nquality, high-performance production software.\nSoftware Engineering for AI: Take the output from research activities and\n\"harden\" the software to achieve higher TRLs suitable for deployment in the\nNational Security Domain.\nSystem Integration: Design and manage the integration of ML models into\nbroader software architectures, ensuring stability and performance.\nEdge Optimization & Deployment: Adapt and optimize machine learning\nmodels for resource-constrained environments, ensuring high-\nperformance execution on edge hardware, including Android-based\nmobile devices.\nTechnical Excellence: Stay current with AI implementation best practices\nto ensure our solutions are maintainable and scalable.\nSkills & Experience\nTechnical Expertise: Broad technical expertise in machine learning,\ndemonstrating a deep understanding of ML algorithms, frameworks, and\nsoftware engineering best practices.\nModel Maturation: Proven experience in taking research-grade AI/ML code\nand maturing it into production-ready software.\nTechnology Implementation: Ability to evaluate new generative AI\ntechnologies for business relevance and feasibility, focusing on practical\nimplementation within the National Security Domain.\nAdvanced Prototyping: Delivering robust proofs of concept that bridge the\ngap between initial research and final application.\nSpecialist Advice: Serving as a key technical resource for the practical\napplication of generative AI within the organization.\nData Science: Applying a range of data science techniques to support\nmodel refinement and software hardening.\nDeployment Experience: Proven experience in building and deploying\ncomplex machine learning models into live environments.\nNationality\nDue to UK government security restrictions, you will need to be a British Citizen\nand have been resident in the UK for the last ten years to apply for this role.\nBenefits\nCompensation\nCompetitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.\nLoyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%.\nProtection: Comprehensive Group Life Assurance for peace of mind.\nPurpose & Culture\nReal Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure.\nAutonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.\nService & Community: We support those who serve. 10 paid days for Reservist Military Service.\nWork / Life Balance\nTime Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.\nGiving back: 2 paid volunteering days per year.\nDevelopment & Growth\n Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.\nExpand Your Horizons: An additional £500 annual \"Personal Choice\" fund to learn whatever inspires you-work-related or not.\nSupport: Access to 1-2-1 professional coaching and team training to accelerate your career.\nHealth & Balance\n Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).\nFlexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.\nWellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.\nFor further information contact: ","description_format":"text","description_chars":5048,"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":["Annual leave","Health insurance","Hybrid work","Paid volunteering days"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Government"],"lifecycle":[{"event":"open","at":"2026-09-06T07:42:10Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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