Machine Learning Algorithm Developer

MBDA; Bristol; Hybrid; GBP 55,000 - 64,000; Full time

Job description

Want to join a team of intelligent systems, autonomous systems and command and control (C2) engineers? This team develops and evaluates algorithms spanning a range of domains across MBDA products!

Salary: Circa £55,000 depending on experience

Dynamic (hybrid) working: This role is predominately site based due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

• Company bonus: Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave: Up to 15 additional days
• Flexible working: We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…

The opportunity:

Our algorithms are central to the design of sophisticated guided weapon systems products. These algorithms are developed throughout the lifecycle of the product and include research studies to investigate algorithms for future developments.

Intelligent Autonomous Systems (IAS) Engineers are involved in the lifecycle of projects, playing a pivotal role in our product developments including:

• Technical development of specific algorithms or studies for key programmes within MBDA
• Feasibility studies, algorithm design and trade-off studies, preparing trials, trials analysis and reporting, defining architecture, validating algorithms and models
• Technical assessments and investigations into a full range of issues and problems and prepare and develop solutions either solely or as a member of a project team
• Engaging with the algorithm users, understanding and responding to their needs and ensure that the algorithms are fit for purpose

What we’re looking for from you:

• Degree/PhD level qualification in a related area or a degree with mathematical content and programming skills
• Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage
• Experience in Matlab, Simulink and/or Stateflow, Python including PyTorch, TensorFlow, Open AI-Gym/Universe or Model Based Design, would be desirable

We encourage our IAS Engineers to cultivate a broad and in-depth knowledge across a variety of fields and topics. However, specific knowledge or experience in any of these areas is of benefit:

• Robotics, guidance and autonomous decision making, e.g. Routing and motion/trajectory planning, optimisation, co-ordinated guidance and control, decision theory, MDPs/POMDPs, specialist systems, game theory, decision support systems, multi-agent systems
• Data fusion and state estimation/tracking algorithms e.g. Kalman Filtering, multiple-model tracking methods, particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence
• Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering
• Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing
• Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery

*To be considered for the Stevenage office, applicants are required to possess a significant level of relevant experience.

Our company: MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more…

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

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