About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
26/07/2026
Full time
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
Senior Embedded Software Developer Location: Commutable to Hertfordshire, Cheltenham, and Bristol - mostly on-site (4 days/week on customer site, 1 day remote where appropriate). Clearance: Must be eligible and willing to undergo DV clearance (British Citizen, UK residency last 10 years). Are you a proven embedded software engineer who thrives on hard problems and real-world constraints? Want to design and deliver operational tooling directly alongside end users in National Security & Defence? We're looking for a senior technical contributor who can take ownership of embedded deliveries, guide technical direction, and mentor others-working across ESP32, Raspberry Pi, and ARM platforms. What You'll Do Lead development of bespoke embedded solutions across multiple platforms. Design, implement, and maintain production-quality C, C++ and/or Python code interfacing with hardware. Architect solutions involving comms protocols, peripheral integration, and performance/robustness constraints. Lead debugging, testing, and optimisation across lab and field environments. Shape requirements with stakeholders; propose approaches and influence delivery plans. Support integration, configuration, and deployment into secure operational environments. Produce high-quality documentation and enforce consistent Git workflows and review standards. Mentor junior engineers and raise team capability through coaching and knowledge sharing. What You'll Bring Essential: Extensive hands on embedded software development experience. Strong proficiency in C/C++ (and/or Python where appropriate). Deep experience with embedded systems (ESP32, ARM Cortex, SBCs). Strong understanding of low level interfacing (UART, GPIO, USB, SPI/I2C). Confident in Linux-based development environments and toolchains. Strong debugging skills (JTAG/SWD, logic analysers, profiling, etc.) and disciplined engineering practice. Ability to communicate clearly and influence technical decisions across teams. Desirable: Experience delivering in secure/defence environments. Knowledge of cryptography, secure transport, or secure system design. Wireless experience (Bluetooth, UWB, Wi Fi). USB device drivers / advanced USB comms. RTOS / bare-metal expertise. Embedded Rust experience or strong interest. Education & Qualifications Degree in a relevant discipline preferred (or equivalent experience). Professional membership (BCS, IET) is a plus. Clearance Requirements Clearance to Start: SC Clearance for Role: DV Benefits Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Commitment to Diversity We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Pay Range £61,500.00 - £78,800.00 Legally Required EEO Statement All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
25/07/2026
Full time
Senior Embedded Software Developer Location: Commutable to Hertfordshire, Cheltenham, and Bristol - mostly on-site (4 days/week on customer site, 1 day remote where appropriate). Clearance: Must be eligible and willing to undergo DV clearance (British Citizen, UK residency last 10 years). Are you a proven embedded software engineer who thrives on hard problems and real-world constraints? Want to design and deliver operational tooling directly alongside end users in National Security & Defence? We're looking for a senior technical contributor who can take ownership of embedded deliveries, guide technical direction, and mentor others-working across ESP32, Raspberry Pi, and ARM platforms. What You'll Do Lead development of bespoke embedded solutions across multiple platforms. Design, implement, and maintain production-quality C, C++ and/or Python code interfacing with hardware. Architect solutions involving comms protocols, peripheral integration, and performance/robustness constraints. Lead debugging, testing, and optimisation across lab and field environments. Shape requirements with stakeholders; propose approaches and influence delivery plans. Support integration, configuration, and deployment into secure operational environments. Produce high-quality documentation and enforce consistent Git workflows and review standards. Mentor junior engineers and raise team capability through coaching and knowledge sharing. What You'll Bring Essential: Extensive hands on embedded software development experience. Strong proficiency in C/C++ (and/or Python where appropriate). Deep experience with embedded systems (ESP32, ARM Cortex, SBCs). Strong understanding of low level interfacing (UART, GPIO, USB, SPI/I2C). Confident in Linux-based development environments and toolchains. Strong debugging skills (JTAG/SWD, logic analysers, profiling, etc.) and disciplined engineering practice. Ability to communicate clearly and influence technical decisions across teams. Desirable: Experience delivering in secure/defence environments. Knowledge of cryptography, secure transport, or secure system design. Wireless experience (Bluetooth, UWB, Wi Fi). USB device drivers / advanced USB comms. RTOS / bare-metal expertise. Embedded Rust experience or strong interest. Education & Qualifications Degree in a relevant discipline preferred (or equivalent experience). Professional membership (BCS, IET) is a plus. Clearance Requirements Clearance to Start: SC Clearance for Role: DV Benefits Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Commitment to Diversity We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Pay Range £61,500.00 - £78,800.00 Legally Required EEO Statement All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Senior Embedded Software Engineer Cambridgeshire Hybrid This is an opportunity to join a leading engineering consultancy delivering complex technology projects across defence, medical and industrial sectors. We're looking for a well-rounded Embedded Software Engineer with strong Embedded Linux fundamentals and hands-on Yocto experience. This role requires engineers who can work deeply within Linux when required, including custom Linux builds, kernel development and device drivers, whilst also being comfortable working across RTOS, MCU and bare-metal systems. Responsibilities: Developing custom Embedded Linux platforms using Yocto. Working at kernel, driver and system level on Arm-based embedded platforms. Supporting board bring-up, hardware integration, debugging and performance optimisation. Developing software for RTOS and bare-metal embedded systems. Collaborating with FPGA, electronics and multidisciplinary engineering teams across a variety of projects. Requirements: Commercial Embedded Linux development experience. Strong hands-on Yocto experience, including building and maintaining custom Linux images. Experience with Linux kernel, device driver and low-level system development. Strong C/C++ programming skills. Experience with RTOS, MCU and bare-metal embedded development. Ability to adapt to new technologies and work across different domains. Eligible for UK SC Security Clearance. Bonus Skills: DSP or strong mathematical foundations. Python, Rust or C# experience. Experience working within consultancy, defence or highly varied engineering environments. This is not a Linux-only position. The successful engineer will spend periods focused heavily on Embedded Linux and Yocto, alongside projects involving RTOS, bare-metal and wider embedded development. The role is ideal for engineers who enjoy technical variety, continuous learning and solving new challenges rather than working on a single long-term product. Apply now to join a team where engineers regularly expand their skillsets and contribute to cutting-edge projects across multiple industries! Platform Recruitment: Platform Recruitment covers a wide range of IT and Engineering positions, including Embedded Software, Electronics, FPGA, Mechanical, C++, DevOps, Cloud, Technical Sales, Project Management and more.
16/07/2026
Full time
Senior Embedded Software Engineer Cambridgeshire Hybrid This is an opportunity to join a leading engineering consultancy delivering complex technology projects across defence, medical and industrial sectors. We're looking for a well-rounded Embedded Software Engineer with strong Embedded Linux fundamentals and hands-on Yocto experience. This role requires engineers who can work deeply within Linux when required, including custom Linux builds, kernel development and device drivers, whilst also being comfortable working across RTOS, MCU and bare-metal systems. Responsibilities: Developing custom Embedded Linux platforms using Yocto. Working at kernel, driver and system level on Arm-based embedded platforms. Supporting board bring-up, hardware integration, debugging and performance optimisation. Developing software for RTOS and bare-metal embedded systems. Collaborating with FPGA, electronics and multidisciplinary engineering teams across a variety of projects. Requirements: Commercial Embedded Linux development experience. Strong hands-on Yocto experience, including building and maintaining custom Linux images. Experience with Linux kernel, device driver and low-level system development. Strong C/C++ programming skills. Experience with RTOS, MCU and bare-metal embedded development. Ability to adapt to new technologies and work across different domains. Eligible for UK SC Security Clearance. Bonus Skills: DSP or strong mathematical foundations. Python, Rust or C# experience. Experience working within consultancy, defence or highly varied engineering environments. This is not a Linux-only position. The successful engineer will spend periods focused heavily on Embedded Linux and Yocto, alongside projects involving RTOS, bare-metal and wider embedded development. The role is ideal for engineers who enjoy technical variety, continuous learning and solving new challenges rather than working on a single long-term product. Apply now to join a team where engineers regularly expand their skillsets and contribute to cutting-edge projects across multiple industries! Platform Recruitment: Platform Recruitment covers a wide range of IT and Engineering positions, including Embedded Software, Electronics, FPGA, Mechanical, C++, DevOps, Cloud, Technical Sales, Project Management and more.
Senior Machine Learning Engineer Remote Salary 90,000- 160,000 (flexable) Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They're looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up. The Role This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. Translating research concepts into robust, scalable production solutions. Monitoring, debugging and improving models using production data and user feedback. Working closely with software engineers, researchers and product teams to deliver impactful features. Mentoring other engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical delivery. Strong problem-solving skills and a pragmatic approach to engineering. Excellent communication skills and a collaborative mindset. Apply today by contacting Hexwired Recruitment. If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
11/07/2026
Full time
Senior Machine Learning Engineer Remote Salary 90,000- 160,000 (flexable) Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They're looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up. The Role This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. Translating research concepts into robust, scalable production solutions. Monitoring, debugging and improving models using production data and user feedback. Working closely with software engineers, researchers and product teams to deliver impactful features. Mentoring other engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical delivery. Strong problem-solving skills and a pragmatic approach to engineering. Excellent communication skills and a collaborative mindset. Apply today by contacting Hexwired Recruitment. If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training and inference infrastructure. Excellent software engineering skills with a focus on maintainable, production-quality code. Comfortable leading technical delivery while remaining hands-on. Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
10/07/2026
Full time
Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training and inference infrastructure. Excellent software engineering skills with a focus on maintainable, production-quality code. Comfortable leading technical delivery while remaining hands-on. Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Requirements: Candidates eligible for UK employment Company Overview Fieldwork Robotics is a pioneering autonomous robotics company developing modular, multi crop, soft and adaptive robots designed to operate in real world, non controllable environments such as agricultural fields. Our mission is to transform farming through intelligent, scalable robotic systems that improve productivity, sustainability, and efficiency. We operate a growing R&D headquarters in Cambridge and are establishing a new engineering hub in Lisbon following the incorporation of our Portugal subsidiary. Our teams work collaboratively across hardware, software, and operations to deliver reliable, production grade autonomous robots. Why Join Us We're building autonomous robots that operate in one of the most challenging real world environments imaginable: soft, irregular plants, dense foliage, moving targets, variable lighting, wind, and real commercial performance constraints. As a Senior C++ Software Engineer, you'll be responsible for developing the core robot control software that enables our robots to reliably, efficiently, and profitably pick raspberries in the field. You'll work at the intersection of robot control, perception, planning, and real time systems, turning vision and ML outputs into robust physical actions. This is a hands on role with real machines, real crops, and real commercial targets. What you'll be doing Design, develop, maintain and deploy high performance modern C+ software for production autonomous raspberry picking robots Build robot control systems using ROS2 and ROS2 Control, integrating with hardware drivers, actuators, and sensors Consume perception outputs from vision and ML systems (fruit detection, tracking, quality estimation) and convert them into actionable robot behaviour Implement and improve algorithms for Fruit tracking and state estimation Object detection integration Path and trajectory planning Obstacle avoidance in cluttered, deformable environments Pick sequencing and optimisation under uncertainty Develop mathematical and algorithmic solutions to real world robotics problems involving noise, latency, dynamics, and partial observability Control and optimise the full pick cycle Log performance data from the robot and build diagnostics, metrics, and tooling to analyse failures and improve reliability, speed, and yield Debug complex system level issues spanning software, hardware, perception, and environment Drive improvements in robot performance against commercial KPIs such as pick success rate, throughput, damage rate, and uptime Collaborate closely with robotics, vision, ML, mechanical, electronics and embedded systems, and operations teams to ship integrated solutions What we're looking for Strong professional experience writing modern C++ in production systems Docker/containerised deployment Solid experience with ROS2 and ROS2 Control in real robotic platforms in distributed robotic architectures Proven ability to write robust, maintainable, and testable control software Experience working with perception outputs (vision, ML, sensor fusion) in robotics Strong foundations in core software engineering principles coupled with a strong ability in mathematics Experience with motion planning, trajectory generation, or real time robot control Comfortable working in complex, noisy, real world environments (not just simulation) Practical debugging skills - you enjoy finding the root cause of complex, cross disciplinary problems Experience working with production level software GitLab for version control and code review and CI/CD pipelines Jira for planning and delivery tracking Structured release processes and versioning strategies Emphasis on code quality, documentation, and long term maintainability Nice to have Experience with embedded/edge compute platforms (e.g. NVIDIA Jetson class hardware) Familiarity with cloud platforms, data systems, and fleet level software Experience with agricultural, mobile, or outdoor robotics Familiarity with real time systems, hardware interfaces, or embedded Linux Experience tuning systems based on field data and operational feedback Background in optimisation, estimation, or probabilistic robotics Why this role matters Your work directly determines whether the robot: picks the right fruit operates fast enough to be commercially viable survives real farms, real weather, and real seasons You won't just be writing software - you'll be driving the robot to hit its performance and commercial targets. What We Offer Competitive salary and benefits package Profit sharing / share options Company events & social activities Career progression in a fast scaling robotics company Opportunity to work on real world autonomous robots deployed in production environments To apply Please send a brief CV and a short note about your interest in the role to:
05/07/2026
Full time
Requirements: Candidates eligible for UK employment Company Overview Fieldwork Robotics is a pioneering autonomous robotics company developing modular, multi crop, soft and adaptive robots designed to operate in real world, non controllable environments such as agricultural fields. Our mission is to transform farming through intelligent, scalable robotic systems that improve productivity, sustainability, and efficiency. We operate a growing R&D headquarters in Cambridge and are establishing a new engineering hub in Lisbon following the incorporation of our Portugal subsidiary. Our teams work collaboratively across hardware, software, and operations to deliver reliable, production grade autonomous robots. Why Join Us We're building autonomous robots that operate in one of the most challenging real world environments imaginable: soft, irregular plants, dense foliage, moving targets, variable lighting, wind, and real commercial performance constraints. As a Senior C++ Software Engineer, you'll be responsible for developing the core robot control software that enables our robots to reliably, efficiently, and profitably pick raspberries in the field. You'll work at the intersection of robot control, perception, planning, and real time systems, turning vision and ML outputs into robust physical actions. This is a hands on role with real machines, real crops, and real commercial targets. What you'll be doing Design, develop, maintain and deploy high performance modern C+ software for production autonomous raspberry picking robots Build robot control systems using ROS2 and ROS2 Control, integrating with hardware drivers, actuators, and sensors Consume perception outputs from vision and ML systems (fruit detection, tracking, quality estimation) and convert them into actionable robot behaviour Implement and improve algorithms for Fruit tracking and state estimation Object detection integration Path and trajectory planning Obstacle avoidance in cluttered, deformable environments Pick sequencing and optimisation under uncertainty Develop mathematical and algorithmic solutions to real world robotics problems involving noise, latency, dynamics, and partial observability Control and optimise the full pick cycle Log performance data from the robot and build diagnostics, metrics, and tooling to analyse failures and improve reliability, speed, and yield Debug complex system level issues spanning software, hardware, perception, and environment Drive improvements in robot performance against commercial KPIs such as pick success rate, throughput, damage rate, and uptime Collaborate closely with robotics, vision, ML, mechanical, electronics and embedded systems, and operations teams to ship integrated solutions What we're looking for Strong professional experience writing modern C++ in production systems Docker/containerised deployment Solid experience with ROS2 and ROS2 Control in real robotic platforms in distributed robotic architectures Proven ability to write robust, maintainable, and testable control software Experience working with perception outputs (vision, ML, sensor fusion) in robotics Strong foundations in core software engineering principles coupled with a strong ability in mathematics Experience with motion planning, trajectory generation, or real time robot control Comfortable working in complex, noisy, real world environments (not just simulation) Practical debugging skills - you enjoy finding the root cause of complex, cross disciplinary problems Experience working with production level software GitLab for version control and code review and CI/CD pipelines Jira for planning and delivery tracking Structured release processes and versioning strategies Emphasis on code quality, documentation, and long term maintainability Nice to have Experience with embedded/edge compute platforms (e.g. NVIDIA Jetson class hardware) Familiarity with cloud platforms, data systems, and fleet level software Experience with agricultural, mobile, or outdoor robotics Familiarity with real time systems, hardware interfaces, or embedded Linux Experience tuning systems based on field data and operational feedback Background in optimisation, estimation, or probabilistic robotics Why this role matters Your work directly determines whether the robot: picks the right fruit operates fast enough to be commercially viable survives real farms, real weather, and real seasons You won't just be writing software - you'll be driving the robot to hit its performance and commercial targets. What We Offer Competitive salary and benefits package Profit sharing / share options Company events & social activities Career progression in a fast scaling robotics company Opportunity to work on real world autonomous robots deployed in production environments To apply Please send a brief CV and a short note about your interest in the role to:
Software Engineer (Mid and Senior Levels) Bristol-Based Office Full-Time 37.5 hours, over 5 days The software technology team at One Big Circle is expanding! We are looking for software engineers at all levels of seniority and experience to integrate into our existing team and work across our diverse technology estate. Available Roles We have a number of roles available that are suitable for engineers with circa 3+ years of experience from 'mid level' up to senior. The roles span a number of broad capability areas which describe the kinds of problems we work on. They are not checklists, we recognise that candidates will bring depth in some areas and interest or exposure in others. We encourage interest from applicants with partial or adjacent skills and backgrounds, to fill a number of different roles within each capability area. Device & Embedded Software Systems Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing, device-to-cloud pipelines, networking, system integration, hardware/software collaboration, field diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer, you'll be a hands on contributor, working closely with experienced engineers to build reliable, high performance systems across devices, cloud platforms, and applied ML, contributing to real world, field deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills. Responsibilities You will contribute to the development of innovative solutions within a skilled team that likes getting things done: Design, develop, and maintain software solutions Contribute to system design and technical decision making within the team Collaborate with adjacent teams to achieve system integration Take ownership of features, projects, or technical areas (scope matched to experience) Diagnose and resolve issues with in service systems and data Contribute to code reviews and help maintain high engineering standards Support continuous improvement of development practices, tooling, and system reliability Personal Qualities and Experience We are looking for engineers with a strong foundational skillset, a pragmatic approach to problem solving, and a desire to grow. You should be comfortable working in dynamic and multidisciplinary technical teams. Personal Attributes Practical and delivery focused, balancing engineering rigour with pragmatism Strong communication skills, able to work effectively with multidisciplinary teams Self motivated and proactive, with a willingness to take ownership of work Comfortable contributing to code reviews and technical discussions Willing to support more junior engineers Keen to grow into greater responsibility for technical direction and project delivery Company Benefits Company Benefits Include: Life Assurance Work related training courses as required Complimentary snacks and refreshments including fresh fruit Office centric role with allocated workspace Access to Bike to Work Scheme Secure bike storage and shower facilities Social events Successful applicants will be required to pass a BPSS (Baseline Personnel Security Standard) check.
04/07/2026
Full time
Software Engineer (Mid and Senior Levels) Bristol-Based Office Full-Time 37.5 hours, over 5 days The software technology team at One Big Circle is expanding! We are looking for software engineers at all levels of seniority and experience to integrate into our existing team and work across our diverse technology estate. Available Roles We have a number of roles available that are suitable for engineers with circa 3+ years of experience from 'mid level' up to senior. The roles span a number of broad capability areas which describe the kinds of problems we work on. They are not checklists, we recognise that candidates will bring depth in some areas and interest or exposure in others. We encourage interest from applicants with partial or adjacent skills and backgrounds, to fill a number of different roles within each capability area. Device & Embedded Software Systems Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing, device-to-cloud pipelines, networking, system integration, hardware/software collaboration, field diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer, you'll be a hands on contributor, working closely with experienced engineers to build reliable, high performance systems across devices, cloud platforms, and applied ML, contributing to real world, field deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills. Responsibilities You will contribute to the development of innovative solutions within a skilled team that likes getting things done: Design, develop, and maintain software solutions Contribute to system design and technical decision making within the team Collaborate with adjacent teams to achieve system integration Take ownership of features, projects, or technical areas (scope matched to experience) Diagnose and resolve issues with in service systems and data Contribute to code reviews and help maintain high engineering standards Support continuous improvement of development practices, tooling, and system reliability Personal Qualities and Experience We are looking for engineers with a strong foundational skillset, a pragmatic approach to problem solving, and a desire to grow. You should be comfortable working in dynamic and multidisciplinary technical teams. Personal Attributes Practical and delivery focused, balancing engineering rigour with pragmatism Strong communication skills, able to work effectively with multidisciplinary teams Self motivated and proactive, with a willingness to take ownership of work Comfortable contributing to code reviews and technical discussions Willing to support more junior engineers Keen to grow into greater responsibility for technical direction and project delivery Company Benefits Company Benefits Include: Life Assurance Work related training courses as required Complimentary snacks and refreshments including fresh fruit Office centric role with allocated workspace Access to Bike to Work Scheme Secure bike storage and shower facilities Social events Successful applicants will be required to pass a BPSS (Baseline Personnel Security Standard) check.
