Algorithm Engineer

Copello Global Ltd; Bristol; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in advanced defense technologies is seeking Intelligent Autonomous Systems Engineers to develop sophisticated algorithms for guided weapon systems. You will play a crucial role in product development, engaging in technical assessments and algorithm validation. Ideal candidates will have a strong background in robotics and machine learning, with relevant programming skills. Join us to contribute to cutting-edge projects and enhance your expertise in autonomous systems.

Qualifications

• Relevant experience in robotics, data fusion, tracking, and machine learning.
• Experience with algorithm design, validation, and implementation.

Responsibilities

• Technical development of algorithms for guided weapon systems.
• Engaging with users to ensure algorithms meet their needs.
• Conducting feasibility studies and technical assessments.

Skills

Robotics

Machine Learning

Deep Learning

Data Fusion

Statistical Inference

Programming

Education

Degree/PhD in related field

Tools

Matlab

Python

TensorFlow

PyTorch

Job description

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 for future developments.

Intelligent Autonomous Systems (IAS) Engineers are involved in project lifecycles, playing a pivotal role in our product development, including:

1. Technical development of specific algorithms or studies for key programmes, including feasibility studies, algorithm design and trade-off studies, trial preparations, analysis and reporting, architecture definition, validation of algorithms and models.
2. Technical assessments and investigations into various issues, developing solutions either independently or as part of a team.
3. Engaging with algorithm users to understand and respond to their needs, ensuring algorithms are fit for purpose.

What we’re looking for from you:

• Degree/PhD in a related field 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, including real-time implementation and validation & verification.
• Experience with Matlab, Simulink, Stateflow, Python, PyTorch, TensorFlow, OpenAI-Gym/Universe, or Model-Based Design is desirable.

Engineers are encouraged to develop broad and in-depth knowledge across various fields, with specific knowledge or experience in the following areas being beneficial:

• Robotics, guidance, and autonomous decision-making: routing, motion/trajectory planning, optimisation, guidance and control, decision theory, MDPs/POMDPs, game theory, decision support, multi-agent systems.
• Data fusion and state estimation/tracking algorithms: Kalman Filtering, multi-model tracking, particle filters, grid-based estimation, multi-sensor fusion, data association, Bayesian networks, Dempster-Shafer theory.
• Machine Learning: regression, pattern recognition, Gaussian processes, latent variable methods, support vector machines, neural networks, Bayesian inference, random forests, anomaly detection, clustering.
• Deep Learning: reinforcement learning, Monte Carlo tree search, deep regression/classification, embeddings, recurrent networks, NLP.
• Computer Vision algorithms: structure from motion, navigation, SLAM, pose estimation.