Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
10/03/2026
Full time
Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
IT SYSTEMS ENGINEER / IT SUPPORT ENGINEER - AZURE, SERVERS, OFFICE 365 Bristol - Hybrid 3 days per week onsite ARCA Resourcing is excited to be recruiting for an IT Systems Engineer on behalf of an innovative and rapidly growing engineering company that is revolutionising the automotive and motorsport simulator industry. With cutting-edge technology and a commitment to excellence, our client delivers state-of-the-art motion simulation solutions to high-profile customers in motorsport and vehicle development. IT SYSTEMS ENGINEER / IT SUPPORT ENGINEER - AZURE, SERVERS, OFFICE 365 Our client is seeking an experienced and motivated IT Systems Engineer to support the development, deployment and monitoring of advanced motion generation technology used by industry-leading customers worldwide. This is a highly collaborative role, working across engineering, software, and production teams to build robust IT systems while enhancing security, reliability and pace of development. This position offers the opportunity to work at the forefront of real-time simulation technology in a fast-moving, innovation-driven environment. Key Responsibilities: Specify, source and manage specialist IT hardware for applications including: Real-time simulation hardware Edge computing hardware Compute resources Servers Improve quality and reliability across existing specialist IT systems, including: Pipeline build agents Hardware-in-the-loop testing systems Simulation compute resources Manage network configurations to ensure secure and reliable performance of: Image generator graphics PCs Database and deployment services Package repositories Collaborate with IT suppliers to design and implement secure IT systems across multiple sites Support and integrate modern software platforms to enable fast and robust software development and deployment Manage software licensing Work directly with customers to integrate motion generation systems and associated IT hardware safely and efficiently on site Essential Skills & Experience: Strong sense of ownership and enthusiasm for delivering high-quality systems Proven experience managing IT infrastructure in complex technical environments Solid understanding of network security and edge device management Servers Azure DevOps Experience with Microsoft services including Office 365, Azure Portal and Azure Active Directory Experience with continuous integration and deployment platforms Desirable: Linux Jira Docker This is an excellent opportunity for an IT professional who thrives in technically demanding environments and enjoys working at the intersection of hardware, software and advanced engineering systems. To apply, please click the link for immediate consideration
28/02/2026
Full time
IT SYSTEMS ENGINEER / IT SUPPORT ENGINEER - AZURE, SERVERS, OFFICE 365 Bristol - Hybrid 3 days per week onsite ARCA Resourcing is excited to be recruiting for an IT Systems Engineer on behalf of an innovative and rapidly growing engineering company that is revolutionising the automotive and motorsport simulator industry. With cutting-edge technology and a commitment to excellence, our client delivers state-of-the-art motion simulation solutions to high-profile customers in motorsport and vehicle development. IT SYSTEMS ENGINEER / IT SUPPORT ENGINEER - AZURE, SERVERS, OFFICE 365 Our client is seeking an experienced and motivated IT Systems Engineer to support the development, deployment and monitoring of advanced motion generation technology used by industry-leading customers worldwide. This is a highly collaborative role, working across engineering, software, and production teams to build robust IT systems while enhancing security, reliability and pace of development. This position offers the opportunity to work at the forefront of real-time simulation technology in a fast-moving, innovation-driven environment. Key Responsibilities: Specify, source and manage specialist IT hardware for applications including: Real-time simulation hardware Edge computing hardware Compute resources Servers Improve quality and reliability across existing specialist IT systems, including: Pipeline build agents Hardware-in-the-loop testing systems Simulation compute resources Manage network configurations to ensure secure and reliable performance of: Image generator graphics PCs Database and deployment services Package repositories Collaborate with IT suppliers to design and implement secure IT systems across multiple sites Support and integrate modern software platforms to enable fast and robust software development and deployment Manage software licensing Work directly with customers to integrate motion generation systems and associated IT hardware safely and efficiently on site Essential Skills & Experience: Strong sense of ownership and enthusiasm for delivering high-quality systems Proven experience managing IT infrastructure in complex technical environments Solid understanding of network security and edge device management Servers Azure DevOps Experience with Microsoft services including Office 365, Azure Portal and Azure Active Directory Experience with continuous integration and deployment platforms Desirable: Linux Jira Docker This is an excellent opportunity for an IT professional who thrives in technically demanding environments and enjoys working at the intersection of hardware, software and advanced engineering systems. To apply, please click the link for immediate consideration
Senior Product Manager Personalisation & AI Hybrid 1 - 2 days per week onsite in central London Are you passionate about creating exceptional digital experiences that delight customers and drive business impact? We re looking for an experienced Senior Product Manager with deep expertise in personalisation and AI to lead and inspire a high-performing, cross-functional team in a leading retail environment. This is your opportunity to shape the personalisation and AI strategy across digital touchpoints, translating customer insight and data into innovative, scalable product experiences that boost loyalty and commercial performance. Key responsibilities Lead a stable, high-performing product team, enabling them to experiment, learn, and deliver solutions that truly impact the customer experience. Define the vision, OKRs, and roadmap for personalisation and AI initiatives, ensuring alignment with business strategy. Own and evolve the personalisation and AI product strategy from ideation to scaled execution, balancing experimentation with measurable commercial outcomes. Act as a servant leader, removing blockers, facilitating workshops, and inspiring your team to excel. Partner closely with data, engineering, and commercial stakeholders to ensure robust, scalable personalisation capabilities. Use both qualitative and quantitative insights to inform decisions, ensuring every product iteration is backed by data. About You Expert in product discovery and agile methodologies (Scrum, Kanban), with a track record of delivering results in dynamic environments. Proven experience in building and scaling personalisation or AI-driven products, ideally in eCommerce or digital consumer platforms. Inspirational leader, known for empowering teams, providing empathetic feedback, and fostering a culture of continuous learning. Strong technical understanding to guide discussions on trade-offs, delivery speed, and feasibility. Experienced in experimentation frameworks, recommendation engines, segmentation, or AI-enabled experiences at scale. Analytical, methodical, and obsessively focused on problem-solving, using data to drive decisions. Exceptional communication skills, skilled in driving asynchronous collaboration and culture via tools like Slack. What Success Looks Like A thriving, motivated team delivering impactful personalisation experiences. A product roadmap aligned with strategic goals, delivering measurable commercial and customer outcomes. Personalisation and AI initiatives embedded into the digital experience, transforming customer engagement. Experience & Qualifications Demonstrable expertise in product management experience in digital or eCommerce environments. Experience liaising across multiple internal teams (Engineering, Brand, Finance, HR, Product, Design, Operations) and external vendors. Demonstrable ability to lead complex initiatives from concept to execution. If you re ready to shape the future of personalisation in retail, inspire a talented team, and make a real impact on customers experiences, we want to hear from you.
13/02/2026
Full time
Senior Product Manager Personalisation & AI Hybrid 1 - 2 days per week onsite in central London Are you passionate about creating exceptional digital experiences that delight customers and drive business impact? We re looking for an experienced Senior Product Manager with deep expertise in personalisation and AI to lead and inspire a high-performing, cross-functional team in a leading retail environment. This is your opportunity to shape the personalisation and AI strategy across digital touchpoints, translating customer insight and data into innovative, scalable product experiences that boost loyalty and commercial performance. Key responsibilities Lead a stable, high-performing product team, enabling them to experiment, learn, and deliver solutions that truly impact the customer experience. Define the vision, OKRs, and roadmap for personalisation and AI initiatives, ensuring alignment with business strategy. Own and evolve the personalisation and AI product strategy from ideation to scaled execution, balancing experimentation with measurable commercial outcomes. Act as a servant leader, removing blockers, facilitating workshops, and inspiring your team to excel. Partner closely with data, engineering, and commercial stakeholders to ensure robust, scalable personalisation capabilities. Use both qualitative and quantitative insights to inform decisions, ensuring every product iteration is backed by data. About You Expert in product discovery and agile methodologies (Scrum, Kanban), with a track record of delivering results in dynamic environments. Proven experience in building and scaling personalisation or AI-driven products, ideally in eCommerce or digital consumer platforms. Inspirational leader, known for empowering teams, providing empathetic feedback, and fostering a culture of continuous learning. Strong technical understanding to guide discussions on trade-offs, delivery speed, and feasibility. Experienced in experimentation frameworks, recommendation engines, segmentation, or AI-enabled experiences at scale. Analytical, methodical, and obsessively focused on problem-solving, using data to drive decisions. Exceptional communication skills, skilled in driving asynchronous collaboration and culture via tools like Slack. What Success Looks Like A thriving, motivated team delivering impactful personalisation experiences. A product roadmap aligned with strategic goals, delivering measurable commercial and customer outcomes. Personalisation and AI initiatives embedded into the digital experience, transforming customer engagement. Experience & Qualifications Demonstrable expertise in product management experience in digital or eCommerce environments. Experience liaising across multiple internal teams (Engineering, Brand, Finance, HR, Product, Design, Operations) and external vendors. Demonstrable ability to lead complex initiatives from concept to execution. If you re ready to shape the future of personalisation in retail, inspire a talented team, and make a real impact on customers experiences, we want to hear from you.
