{"id":415787,"url":"https://alion.io/job/digi-senior-software-engineer-machine-learning","title":"Senior Software Engineer (Machine Learning)","company":{"id":155824,"name":"digiLab","domain":"digi-lab.agency","url":"https://alion.io/company/digi-lab","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Exeter, United Kingdom","Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":162000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Explainable AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Scrum","optional":false},{"name":"AWS","optional":true},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-26T10:14:28Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-27T12:03:06Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest.\nOur customers are among the largest and most advanced engineering and science-led organisations in the world, and they're using our technology to tackle some of society's biggest challenges. How do we make fusion energy a commercial reality? Can we drive down the cost of renewable energy and accelerate the transition to a sustainable future? How do we support coral reef restoration, or strengthen Britain's national security? These are just a few of the critical questions our technology is helping to answer. \nAt the heart of our work is the Uncertainty Engine, digiLab's trustworthy and explainable AI platform, enabling our customers to accelerate innovation, reduce risk, and deliver real value through more confident decisions. \nWe are looking for ambitious team members to help shape our pioneering technology and tackle some of the world's most impactful problems. \nSummary: \nThe Senior Software Engineer is a full-time position (Monday to Thursday), reporting directly to the Lead Software Engineer. This role is central to the ongoing development and maintenance of digiLab's core product, The Uncertainty Engine. It encompasses a broad range of responsibilities that leverage expertise in software engineering and machine learning, with a strong focus on Python development within a fast-paced, collaborative, and dynamic engineering environment.\nThe role: \nAs a Senior Software Engineer at digiLab, responsibilities include:\nCollaborate with a cross-functional team to help lead the design, development, and maintenance of high-quality software solutions\nConsume and extend our internal machine learning library to surface ML functionality to users through the backend\nDesign and build the scalable, high-performance backend services and APIs that deliver functionality to users, applying security best practices throughout\nImplement software design patterns, SOLID principles, and architectural best practices\nOwn CI/CD pipelines and deployments, keeping production systems reliable and performant\nProvide technical support and lead incident investigations\nChampion Scrum and contribute to team process improvements\nCollaborate with product management to translate business requirements into technical solutions\nFoster a collaborative, learning-oriented environment within the team\nAdopt AI tools to assist and accelerate your work\nDuties may evolve, and you may be asked to take on other reasonable responsibilities within your competence to support our growth.\nRequired Skills & Experience:\nSignificant industry experience in (scientific) software development\nProven experience building production APIs with FastAPI (or similar async Python frameworks)\nStrong working knowledge of modern machine learning - able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch)\nUnderstanding of core ML concepts - model training, evaluation, and production trade-offs - enough to design robust interfaces around them\nExperience with DevOps and MLOps\nDegree-level qualification in computer science or related field\nDeep understanding of Python\nFamiliarity with Linux, bash, and the command line\nAbility to write logical, consistent, self-explanatory code\nUnderstanding of software design patterns, SOLID and DRY principles, and architectural patterns\nExperience with Git/GitHub and best practices\nKnowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end)\nExperience with Docker and other containerisation platforms\nProven ability to collaborate in a fast-paced, agile team, preferably using Scrum\nNice to Have:\nA Master’s-level qualification in a STEM field.\nExperience with front-end development: HTML; CSS; React; Javascript/Typescript.\nExperience with UI/UX design principles.\nExperience deploying cloud infrastructure as code (e.g. AWS).\nAn understanding of Bayesian statistics.\nExperience with accessibility, inclusive design or motion design.\nLocation: \nThis role is on-site at either our Exeter or Bristol office. \nAs an ambitious, rapidly-growing start-up, we’re looking for proactive, adaptable people who thrive in a fast-paced environment. Our standard working hours are 9.00-5.30pm, Monday to Thursday, though some flexibility outside these hours may be required to meet business needs.\n\nOur Culture and Values\nAt digiLab, we're building something we truly believe in, and we're looking for like-minded people. \n\n We foster a culture of innovation, trust, and collaboration. Our values include:\nCreativity & Agility: Encouraging innovation and flexibility in goal achievement.\nTrust & Responsibility: Supporting each other in taking calculated risks for bold innovation.\nOpen & Honest Collaboration: Ensuring transparent communication and alignment.\nHigh-Performance Standards: Continuously challenging ourselves to excel in delivery.\nValue-Driven Work: Regularly assessing our contributions toward company goals.\nBenefits:\nWe value enthusiasm and loyalty, and we’re committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including:\nCompetitive Salary\nPersonal & professional development\n BUPA private health care (via salary sacrifice)\nCompany Cashplan\nCycle to work scheme\nReferral Program\nRegular social events such as pizza nights, kayaking, bouldering and bake offs\n\nEqual Opportunities:\ndigiLab is an equal opportunity employer. We welcome applications from candidates of all backgrounds and are committed to ensuring our recruitment processes are fair, inclusive, and legally compliant. We take equality, dignity, and non-discrimination seriously. \nFinal Note:\nWe aim to respond to every applicant, but due to high application volumes, we may not be able to respond individually. Thank you for your interest in joining the digiLab team. 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