• Lead execution of comprehensive commissioning plans and provide technical oversight for system integration testing and validation • Configure and calibrate complex control systems including VSDs, instruments, metering, PLC, HMI, and SCADA applications • Author and lead Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) with customers • Resolve complex technical issues during startup phases and provide expert troubleshooting under pressure • Mentor and train customer personnel and junior engineers on system operation and maintenance • Coordinate with project teams, customers, and subcontractors while ensuring compliance with safety standards and regulatory requirements

Role Description The UK Engineering Manager will lead and manage the installation function across both in-house engineers and third-party subcontractors. This role ensures that installations of telematics systems, vehicle cameras, and ancillary products are delivered to defined quality and safety standards, while optimising operational efficiency and cost-effectiveness. - Manage and coordinate all in-house installation engineers and subcontractor partners. - Develop and maintain an optimal balance of in-house versus subcontractor resource to ensure cost efficiency, flexibility, and scalability. - Plan and oversee daily, weekly, and monthly installation schedules to maximise engineer productivity and minimise downtime. - Track and manage engineer’s travel times, routes, and appointment allocations to reduce cost per install and improve service efficiency. - Ensure all installations are completed in compliance with company Health & Safety policies, risk assessments, and site-specific requirements. - Maintain high standards of safety integrity for all installations, with defined acceptance criteria across telematics, cameras, and ancillary products. - Conduct and regularly update risk assessments, method statements, and safe working procedures. - Provide Health & Safety training and monitor compliance across employees and subcontractors. - Define and enforce minimum quality standards for all installations. - Monitor and audit installation quality, ensuring installations meet technical and safety specifications. - Lead continual improvement initiatives to reduce defects, rework, and installation errors. - Manage technical training updates for engineers on new products and evolving installation methods. - Track and manage cost per install, cost per solution, and overall installation expenses. - Analyse cost trends and recommend operational changes to improve cost-effectiveness. - Report on budget performance, productivity, and cost efficiency of in-house engineers versus subcontractors. - Lead, coach, and develop a team of installation engineers to achieve high performance and technical excellence. - Provide clear guidance, support, and structured performance management for both employees and contractors. - Drive a culture of accountability, efficiency, and customer focus. - Maintain accurate records of installations, including job allocation, completion, costs, and quality outcomes. - Deliver regular reports to senior management on installation performance, cost metrics, and quality standards. - Ensure installation data supports wider operational and customer service reporting. Qualifications - Proven experience managing field engineers in telematics, automotive electronics, or related technical sectors. - Demonstrable Health & Safety management experience. - Experience in subcontractor management and supplier performance monitoring. - Strong financial awareness and experience in cost management and operational optimisation. - Track record in quality assurance and installation standards. - Full driving licence required. - Strong leadership and team management skills across direct and third-party teams. - In-depth knowledge of telematics, vehicle camera systems, and installation best practices. - Excellent understanding of Health & Safety standards, risk management, and compliance. - Commercially minded with proven ability to track, analyse, and reduce operational costs. - Strong planning, scheduling, and resource management skills. - Analytical and detail-oriented, with effective reporting and record-keeping capability. - Ability to drive continuous improvement in both quality and efficiency. Benefits - Basic Salary £40,000 - to £50,000 dependant on experience. - Company vehicle or car allowance. - Kit - Mobile phone, laptop, tablet. - Uniform and Safety - Full uniform and safety equipment provided for all weathers. - Annual Leave - 33 days inclusive of bank holidays. - Pension - Contributory pension scheme. - Overtime - Opportunity to earn overtime.

Role Description We are looking for an experienced and highly technical Senior Product Engineer to join our Engineering team and help us implement and deliver large projects and advocate for high engineering standards. The remit and focus of the role is to be a key driver in the team, taking responsibility for developing and owning features and core components of the company's core systems and processes, as well as auxiliary services where needed. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a proactive and collaborative Senior Product Engineer, this is the role for you. Core responsibilities - Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers. - Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite. - Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products. - Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards. - Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge. - Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable. - Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies. - Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication. - Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests. - Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time. - Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction. - Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices. - Actively lead and participate in tech talks, workshops, and team-based learning initiatives. Qualifications - Demonstrable experience building back-end Python-based services. - Previous experience building features in PHP. - Experience with enterprise solutions and large-scale systems. - Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation. - Proven experience in managing large, technical projects and delivering high-quality, impactful results with minimal supervision. - Proven experience designing and writing APIs and services within a service-oriented environment. - Applies best practices and software engineering principles (e.g., SOLID, DRY) effectively. - Demonstrated knowledge of software best practices, including refactoring, writing clean code, and Test-Driven Development (TDD) and Test Automation. - Understands Scrum methodology or other agile development processes. - Demonstrates leadership through collaboration, mentorship, and a proactive approach to problem-solving. - Possesses excellent written and spoken English skills, with the ability to communicate clearly to both technical and non-technical stakeholders. - A driven team player who actively participates in discussions and readily offers assistance to others. Benefits - A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! - 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas. - Life Assurance paid out at 3x annual salary. - Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks. - Private Dental Insurance with Bupa. - Salary sacrifice Pension provided by Scottish Widows. - Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay. - 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! - Access to services such as Calm and Bippit (financial wellbeing coaching). - All of our roles champion flexible working and we are happy to discuss what this means to you. - Social committees that plan team, office and company wide events to bring people together and celebrate success. - Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc). - Volunteer with a charity of your choice for a day each year. - Dog friendly offices! Interview process - Phone screen - 1st stage - 2nd stage

Role Description Your missions: - Design, develop, and deploy end-to-end ML and AI pipelines, from problem framing and experimentation through to production. - Build and maintain robust data and ML pipelines for model training, evaluation, and deployment, develop LLM-powered features including RAG, structured prompting, few-shot learning, and OCR integration. - Implement and evolve ML/LLMOps practices: model versioning, production monitoring, reproducibility, and continuous improvement. - Develop APIs and microservices to expose ML/AI models to business applications. - Analyze large datasets, identify modeling challenges, propose solutions, and iterate quickly. - Collaborate closely with Data, Product, and Engineering teams to turn prototypes into scalable, reliable production solutions. - Stay current on academic and industrial advances in Machine Learning, LLMs and emerging AI technologies and apply them to real-world use cases. - Contribute to best practices in testing, CI/CD, and deployment automation. Qualifications - You hold a Master's degree (or equivalent) in Computer Science, Applied Mathematics, Data Science, or a related quantitative field. - You have 3 to 5 years of experience developing and deploying Machine Learning models in production environments. - You are proficient in Python and have hands-on experience with major ML/AI frameworks (scikit-learn, XGBoost, LightGBM, HuggingFace Transformers, DSPy…), we value practical experience and adaptability over specific tools. - You have solid knowledge of ML/LLMOps tools (MLflow, Kubeflow, DVC, DeepEval or similar) and ML-oriented DevOps practices. - You have experience with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) and containerization (Docker, Kubernetes). - You are comfortable with SQL and knowledgeable in feature engineering and data preprocessing best practices. - You have a pragmatic, analytical, and results-oriented mindset: you favor frequent iterative deliveries over long research tunnels. - You enjoy working in cross-functional teams (Data, Tech, Product) and can translate business needs into concrete ML/AI solutions. - You are autonomous, curious, and comfortable in a fast-evolving ecosystem. - Professional proficiency in English, bilingual in French. Benefits - Join a mission-driven company with a concrete impact on the new generation. - Share our three core virtues with our people all over Europe: #Committed, #OneTeam, #DrivEn. - Take part in a dynamic internal life, where everyone can contribute (all-hands, local parties, team drinks, team-buildings, etc.). - Grow and develop your career with a strong training policy, including an annual individual budget for learning opportunities (95% of our employees were trained last year!). - Enjoy our flexible work environment: remote-friendly, with one month per year from anywhere in Europe, and home office equipment support. Some positions can even be fully remote. - Benefit from our Family Care Policy: 4 additional paid days off during your return month from parental leave, 3 paid child-sick days per year, and other initiatives to support parents. - Take care of your mental health with Moka Care: 4 free therapy or coaching sessions per year (with additional support in challenging personal situations), plus regular workshops for managers in partnership with Moka Care and Alan. - Make your voice count: our Take Care Survey (run twice a year) ensures employee feedback directly shapes JobTeaser’s culture, collaboration and cross-team work. - Protect your focus time with our No-Meeting Wednesday mornings initiative. - Collaborate closely with our CSE, actively involved in enhancing work life and benefits (with the HappyPal platform). - Enjoy the essentials: RTT, health insurance, lunch vouchers, holiday bonus, and 50% public transport reimbursement. - A modern and well-located office at WeWork - including delicious barista coffee and free yoga lessons. - Be proud: 88% of our employees say they are proud to work in their team at JobTeaser (Internal Take Care Survey, November 2024). Your hiring process and the next steps - A 30-min screening call to get to know you better with one of our Talent Acquisition Specialists. - An interview with your future manager to discuss your experiences and motivations. - One or several focus interviews that can include business cases to test your hard skills. - A final round with your Department Head to confirm the mutual match. Welcome at JobTeaser 💚 We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique, pre-established, competency-based process. Compensation: EUR 55000 - EUR 70000 - yearly