Machine Learning Engineer

Job Description

Machine Learning Engineer Location: Basingstoke (80% Remote Working)Business Area: AI Solutions PracticeEmployment Type - Full TimeSalary - £45,000 - £55,000 + 10% Annual BonusWho we areWe are a global leader in technology and business solutions that transform organizations and the world around us. We have a long heritage of bringing innovation and expertise, continuously working to contribute to the growth of society and our customers.With the purpose of making the world more sustainable through trust-building in our society with pioneering innovation.This is an exciting opportunity for a machine learning engineer to work within our business AI solutions teams as a part of our wider Defence and National Security business unit. You will be a part of developing cutting-edge AI solutions leading to productinception, consultancy opportunities, and performing a more critical role underpinning business growth.Why usAs a company that holds a strong set of values embedded into us and our history, we respect and promote diversity, equality, and simple fairness. This allows us to strive to achieve more than anyone else by combining a diverse combination of prospects andtalents in an inclusive environment, where you will be supported in your work in the manner that suits you.Additionally, we are:

• A Times Top 50 employer for Women
• Disability Confident Company
• Signatory for the race at work charter
• Committed to the UN standards for LGBT+
• People-Centric - your work-life balance, and simply being happy is important to us
• A progressive organization making change

Machine Learning Engineer Responsibilities

• You will be involved in a variety of research, development, and deployment tasks involving cutting-edge machine learning models on a variety of use cases.
• You will be part of a dynamic team working with professionals in machine learning, computer vision, and natural language processing (NLP) and will aim to apply your skills to existing projects or manage initiatives autonomously.
• You will be actively encouraged to participate in and present work in appropriate forums/conferences, as well as to create high-quality research and whitepapers and/or contribute to patents.
• You may be asked to assist the business development team in their pre-sales activities, such as presenting your work to new prospective clients and engaging in calls and meetings, if requested.

Ideal Machine Learning Engineer will have:

• Masters or PhD in Computer Science or a related subject
• Excellent theoretical grounding in ML concepts and algorithms.
• Experience implementing, adapting, and optimizing state-of-the-art deep learning models.
• Fluency in Python.
• Excellent communication skills with both technical and non-technical audiences.
• A passion for machine learning, learning new skills, and actively staying up to date with the latest research.

• Nice to Have Skills:
• Experience with software engineering practices, such as using version control and continuous integration.
• Reinforcement Learning frameworks such as, stable baselines, ACME, Open AI Gym and RLlib
• API development
• Data Modelling and evaluation

Machine Learning Engineer Benefits:

• Base Salary: £45,000 - £55,000
• 10% Annual Bonus
• £6000 Car Allowance (Can be taken as cash)
• DV Bonus (10% of Annual Salary paid monthly)
• Pension - Double matching contributions of up to 10%
• Annual Leave: 25 days plus public holidays over the calendar year plus buy up to 10 days additional annual holiday
• Life Assurance: 2 x salary life assurance
• Excellent Training & Development
• Health & Wellbeing: Private Medical/ Dental Cover

Candidates must be willing to go through DV Clearance however can start the role on SC level Clearance. Upon receiving DV Clearance you will then be granted the additional benefit of a monthly DV Bonus (10% of your base salary).We want you to thrive. If working for a progressive organization, with a continuing commitment to diversity and inclusion is important, you should apply.Contact me directly at [+44 (0) | ] if youd like to have an exploratory conversation about the role or click to apply.

Keyskills :
Applied Mathematics. Neural Network Architectures. Physics. Data Modeling and Evaluation. Advances Signal Processing Techniques. Natural Language Proc