Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.
We are now looking for energetic and driven Under Water Battlespace Agile Commissioning Tech Lead for within our Electronics and Embedded Systems team to support the leadership of our clients Under Water (UW) capability. You'll play a leading role in capability improvement to maintain operational advantage of a range of Anti Submarine Warfare products aimed at improving Detection, Classification Location and Targeting in an a complex and congested underwater environment.
Responsibilities
Within this role, you'll support our client in developing Anti Submarine Warfare capability in two primary areas:
- Use Case 1: P8 Sonobuoy classification. For Use Case 1 initial models have been developed and assessed, there is ongoing development to improve performance.
- Use Case 2: Automatic Target Recognition (ATR) from side scan sonar. Use case 2 has recently completed an initial discovery exercise and is expected to enter into alpha model exploration in September.
For both use cases User Research is continuing and is expected to inform future development activity. Initial model development and test cloud environments have been established for Use Case 1 and we are expecting to broaden their use to support Use Case 2 also.
You'll be expected to
- Lead our clients contribution towards the AUKUS LOE2 space, providing technical leadership to the Vivace supplier teams and peer review of outputs.
- Aid in the planning of and oversee delivery of AI models for the classification of targets from P8 Sonobuoy data. Looking at the available data, data labelling, model approaches and Test and Evaluation (T&E)
- Similarly aid in the planning and overseeing delivery of UWB ATR AI models
- Review P8 Sonobuoy and UWB User Research from the team and consume this to help in developing broader plans
- Support the broader integration onto mission systems and MLOps environments
Additionally you'll support
- Development of improved classification algorithms
- Continuation of platform integration activities
- Develop the IT environments to support Use Case 1 and 2
- Initiate Automatic Target Recognition (ATR) model development and research
- Support AUKUS Technical Exchange Meetings
Qualifications
- Degree in Engineering or relevant STEM discipline
- HNC/HND with equivalent engineering experience
- Applications are also welcomed from individuals with significant demonstrable experience who don’t hold formal qualifications
Essential skills
- AI model development and MLOps
- Systems Integration
Experience
- Experience in working with the Ministry of Defence
- Under water battlespace domain experience
What do I need before I apply
- This role may require security clearance upto DV level and our offer of employment will be dependent on obtaining the appropriate level of clearance. The details of this requirement will be discussed at interview.
- If applying for this role, please do not make reference to or include in your application or CV details of any current or previously held security clearance.
Benefits
- Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
- We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
- Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
- Competitive company benefits
- Always working as one team, our people are not afraid to think big and challenge the status quo
#LI-DS1
- As a Disability Confident Committed Employer we have committed to:
- Ensure our recruitment process is inclusive and accessible
- Communicating and promoting vacancies
- Offering an interview to disabled people who meet the minimum criteria for the job
- Anticipating and providing reasonable adjustments as required
- Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people
“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.
We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive
Within this role, you'll support our client in developing Anti Submarine Warfare capability in two primary areas:
- Use Case 1: P8 Sonobuoy classification. For Use Case 1 initial models have been developed and assessed, there is ongoing development to improve performance.
- Use Case 2: Automatic Target Recognition (ATR) from side scan sonar. Use case 2 has recently completed an initial discovery exercise and is expected to enter into alpha model exploration in September.
For both use cases User Research is continuing and is expected to inform future development activity. Initial model development and test cloud environments have been established for Use Case 1 and we are expecting to broaden their use to support Use Case 2 also.
You'll be expected to
- Lead our clients contribution towards the AUKUS LOE2 space, providing technical leadership to the Vivace supplier teams and peer review of outputs.
- Aid in the planning of and oversee delivery of AI models for the classification of targets from P8 Sonobuoy data. Looking at the available data, data labelling, model approaches and Test and Evaluation (T&E)
- Similarly aid in the planning and overseeing delivery of UWB ATR AI models
- Review P8 Sonobuoy and UWB User Research from the team and consume this to help in developing broader plans
- Support the broader integration onto mission systems and MLOps environments
Additionally you'll support
- Development of improved classification algorithms
- Continuation of platform integration activities
- Develop the IT environments to support Use Case 1 and 2
- Initiate Automatic Target Recognition (ATR) model development and research
- Support AUKUS Technical Exchange Meetings
- Degree in Engineering or relevant STEM discipline
- HNC/HND with equivalent engineering experience
- Applications are also welcomed from individuals with significant demonstrable experience who don’t hold formal qualifications
Machine Learning Principle Engineer in Portsmouth employer: Expleo Group
Expleo is an exceptional employer that offers a unique opportunity for strategic leadership in the Marine sector, fostering a culture of innovation and collaboration. With a focus on employee growth and development, you will be part of a high-performing team dedicated to delivering cutting-edge engineering and technology services within one of the UK's most vital industries. The hybrid work model allows for flexibility while being at the forefront of marine engineering and defence innovation.
