Find your next tech and IT Job or contract Algorithms

Senior Technologist - Optical Systems Ormskirk, West Lancashire Up to £55,000 + 25 Days Holiday + Bank Holidays + Bonus (up to 20%) + Private Healthcare + Pension + Holiday Salary Exchange + Cycle to Work Scheme + Onsite Parking & EV Charging + Onsite Canteen Excellent opportunity for an Optical Systems Engineer to join a global manufacturing group, working with state-of-the-art technologies to develop advanced inspection and measurement solutions used across international production sites. This company are a worldwide leader in their field, operating across architectural, automotive and specialist glass technologies. Their Process Control team plays a key role in developing, deploying and supporting inspection and metrology systems that feed critical data into global manufacturing execution platforms, underpinning quality, performance and process optimisation. In this role you will work across the full lifecycle of automatic inspection systems - from concept and design through to implementation, deployment and ongoing support. You'll create and enhance optical and measurement solutions, develop software (including algorithms and image processing), and work with a mix of legacy tools and modern high-level languages. You'll partner closely with R&D and production teams, provide both on-site and remote technical support, carry out technical assessments of new technologies, and occasionally travel overseas to support global sites. The ideal candidate will have a strong background in optical systems, industrial metrology or precision measurement, alongside experience developing inspection software (e.g. image processing, algorithm design, C# or similar languages). You'll combine hands-on lab skills with strong problem-solving abilities, excellent communication, and solid project/time management. A 2:1 degree or higher in a STEM subject and several years' relevant industry experience are essential. This is a fantastic opportunity to join a highly technical team within a global organisation, work at the forefront of inspection and process control technology, and directly influence product quality and manufacturing performance across worldwide operations. The Role: *Creating and enhancing automatic inspection systems from concept through to implementation *Developing optical / measurement solutions, algorithms and inspection software (incl. image processing, C# or similar) *Delivering and supporting inspection systems and instruments across global manufacturing sites (on-site and remote) *Assessing new technologies in inspection & process control and contributing to continuous improvement initiatives The Person: *2:1 degree or higher in a STEM subject + 5+ years' relevant experience *Experience with optical systems, industrial metrology and precision measurement techniques *Software development experience (e.g. algorithm design, image processing, C# or similar), with strong experimental/lab skills *Excellent communication, high attention to detail and strong project/time management; willing to undertake occasional overseas travel Reference Number: BBBH266794 To apply for this role or to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.