Machine Learning Engineer
hackajob
- Bristol, England, United Kingdom
- Bristol, England, United Kingdom
Über
Responsibilities
Build, integrate, test and scale machine learning models, including NLP and Computer Vision.
Own the full ML life‑cycle: design, train, productionise, and maintain models while ensuring best practices, security and quality.
Develop neural networks and implement MLOps workflows.
Collaborate with Data Engineers and DevOps Engineers to enable continuous integration and deployment of models in production.
Research and pilot new technologies and software versions.
Manage cloud and operating‑system environments and work with big‑data technologies such as Spark.
Engage stakeholders to gather functional and non‑functional requirements and communicate model implications.
Essential Qualifications
UK SC clearance or eligibility to obtain it.
Proven experience developing diverse machine‑learning models.
Strong grasp of frameworks (PyTorch, TensorFlow) and machine‑learning architecture.
Experience with hyper‑parameter tuning, optimizer libraries, and model optimisation.
Exposure to MLOps workflows, CI/CD, and data pipelines.
Proficiency in Python and SQL.
Solid understanding of software‑engineering principles and data‑warehousing.
Critical thinking, problem‑solving and a willingness to learn.
Desirable Qualifications
UK DV clearance or eligibility to obtain it.
Degree or equivalent in STEM, Data, AI or programming.
Track record of AI projects delivering measurable business outcomes.
Production‑level code written for neural‑network deployment.
Experience with Docker, NLP, computer‑vision, and cloud platforms (AWS, Azure).
Experience with Apache products such as Hive, Spark, Hadoop, or NiFi.
Programming experience in languages other than Python.
Security Clearance Applicants must be eligible for full security clearance. Further information:
UK security vetting levels .
Work & Benefits
Hybrid working – flexible hours with optional remote days.
Company‑funded benefits: private healthcare, dental schemes, ISA, Go Green Car Scheme, technology allowance (£500/yr).
Holidays: 25 days + bank holidays; option to buy/sell leave and accrue up to 12 extra flexi days.
Pension: Employer contribution up to 10%.
Wellbeing support: Employee Assistance Programme, financial wellbeing, network groups (Enable, Pride, Equalise, Reservists, Carers).
Lifestyle perks: discounted gym membership, cycle‑to‑work scheme.
Learning & development: free access to over 4,000 Coursera courses.
Referral incentive and bonus schemes for employees up to managerial level.
Eligibility Statement Leonardo welcomes candidates from all backgrounds, including women, Black, Asian, ethnic minorities, people with disabilities and LGBTQI+ communities.
Contact & Application Interested applicants should submit their CV and a cover letter through our internal recruitment portal. The role is actively recruiting; no indication it has closed.
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Sprachkenntnisse
- English
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