Data Scientist AI Machine Learning, Graduate, Internship, Student Placement
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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.
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Position Overview & Specifications
Are you interested in joining a deep tech company working with leading Aerospace, Defence and Automotive companies like Airbus, GKN, BAE Systems, Nissan Motors etc.?
Are you interested in being part of a young and fun-loving team environment developing cutting-edge AI technology to solve real industrial problems?
If the above questions excite you, this company could be right for you!
We are looking for an engineer passionate about problem-solving. Your design, code, and natural smartness will contribute to solving some of the most complex industrial challenges. You will be involved in shaping our AI products and lead mission-critical projects early in your career.
Key Job Responsibilities
- Develop supervised and unsupervised machine learning models, for example, XGBoost, KNN etc.
- Develop Explainable AI modules to present machine learning results to end users
- Implement multi-objective optimisation algorithms using the trained machine learning (surrogate) models
- Develop uncertainty quantification modules to highlight the uncertainty in the prediction
- Develop deep learning models using Neural Networks, e.g. Auto Encoders, Generative Adversarial Networks (GANs), Federated Learning etc.
- Implement cutting-edge AI algorithms from published scientific documents
- Write technical articles/blogs on industrial use cases.
Qualifications
- Studied Data science, Artificial Intelligence, Machine Learning etc.
- Mastery of Python programming language
- Strong written and verbal communication skills
- Basic working experience/knowledge in Unix/Linux environment
- Basic understanding of containerised applications, for example, Docker
- Basic knowledge of GPU-based highly parallel software development
Job Types: Full-time, Permanent, Graduate, Internship
Benefits:
- Casual dress
- Company events
- Company pension
- Referral programme
- Work from home
Schedule:
- Monday to Friday
Education:
- Master's (preferred)
Work Location: Hybrid remote in Bristol
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Data Scientist AI Machine Learning, Graduate, Internship, Student Placement roles across AI Top Talents Ltd's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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