Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
Jun 15, 2026
Full time
Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Jun 13, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Jun 13, 2026
Full time
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Jun 11, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Machine Learning Engineer Location: England, UK - Remote Duration: 6-Month Contract with potential extension Payrate: 525 - 715 per day Inside IR35 About the Role We are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain. You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure. What We Are Looking For Experience: Minimum 5+ years of proven industry experience working on production-level ML systems . (Note: This is a system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection. Soft Skills: A collaborative team player who can easily interface with business stakeholders, translate business needs into technical objectives, and provide clear technical direction. Preferred Backgrounds While a direct background in fintech or payment processing is a great nice-to-have, it is not a requirement. They value engineers who have solved complex data problems at scale. Experience working in high-growth, large-scale tech companies or scale-ups is highly regarded. This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently. If you are interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 11, 2026
Contractor
Machine Learning Engineer Location: England, UK - Remote Duration: 6-Month Contract with potential extension Payrate: 525 - 715 per day Inside IR35 About the Role We are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain. You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure. What We Are Looking For Experience: Minimum 5+ years of proven industry experience working on production-level ML systems . (Note: This is a system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection. Soft Skills: A collaborative team player who can easily interface with business stakeholders, translate business needs into technical objectives, and provide clear technical direction. Preferred Backgrounds While a direct background in fintech or payment processing is a great nice-to-have, it is not a requirement. They value engineers who have solved complex data problems at scale. Experience working in high-growth, large-scale tech companies or scale-ups is highly regarded. This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently. If you are interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Jun 09, 2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
AI Engineer Our client, a leading global supplier for IT services, requires an experienced AI Engineer to be based at their client's office in Sheffield, UK. This is a hybrid role - you can work remotely in the UK and attend the Sheffield office 2 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate This position falls under the client's Group Data Technology space. The key focus is on creating connections between business processes, data, products, services, and technology that underpin customer interactions and drive financial success. The team provides a single comprehensive data cataloguing solution across multiple business units. Key Responsibilities Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Conduct assessments of the AI for a given use case and come up with recommendations and alternate ways to achieve the objectives Key Requirements Essential: Proven experience of Chat Bot development using below listed technologies (Mandatory) Python, PyCharm, Numpy, Pandas Experience with ML, deep learning, TensorFlow, Python, NLP MySQL, PostgreSQL, NoSQL, RDBMS design and modelling GitHub, Jenkins Data modelling, Data wrangling and extraction Experience in developing classification algorithms and data preparation Must have experience in either one or more of the expertise areas like Image processing, text extraction, clustering, classification and embedding models Must have experience on developing Drift detection and Model monitoring implementation, good to have experience with AgentEvals for Large Language Models Desirable: Bachelor's degree or higher in computer science, engineering or related field 5-7 years of experience in architecting, positioning and delivering data science and machine learning Experience with Supervised and Unsupervised learning algorithms, good to have experience on Classification algorithms Experience with Document Type classifier, Pattern matching and PII identification Hands on experience in model training, drift detection and feature generation Expertise in Agile and can work with at least one of the common frameworks Ability to identify network attacks and systemic security issues as they relate to threats and vulnerabilities, with focus on recommendations for enhancements or remediation Dev-ops and application security & data security experience Securing highly available Internet banking application Knowledge of client side applications and micro services architecture Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences Build effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same Ability to quickly acquire new skills and tools Good To Have Skills: Computer Vision problem solution, Advanced pattern matching PII identification and extraction Document type classifiers Standardised form matcher Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Oct 03, 2025
Contractor
AI Engineer Our client, a leading global supplier for IT services, requires an experienced AI Engineer to be based at their client's office in Sheffield, UK. This is a hybrid role - you can work remotely in the UK and attend the Sheffield office 2 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate This position falls under the client's Group Data Technology space. The key focus is on creating connections between business processes, data, products, services, and technology that underpin customer interactions and drive financial success. The team provides a single comprehensive data cataloguing solution across multiple business units. Key Responsibilities Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Conduct assessments of the AI for a given use case and come up with recommendations and alternate ways to achieve the objectives Key Requirements Essential: Proven experience of Chat Bot development using below listed technologies (Mandatory) Python, PyCharm, Numpy, Pandas Experience with ML, deep learning, TensorFlow, Python, NLP MySQL, PostgreSQL, NoSQL, RDBMS design and modelling GitHub, Jenkins Data modelling, Data wrangling and extraction Experience in developing classification algorithms and data preparation Must have experience in either one or more of the expertise areas like Image processing, text extraction, clustering, classification and embedding models Must have experience on developing Drift detection and Model monitoring implementation, good to have experience with AgentEvals for Large Language Models Desirable: Bachelor's degree or higher in computer science, engineering or related field 5-7 years of experience in architecting, positioning and delivering data science and machine learning Experience with Supervised and Unsupervised learning algorithms, good to have experience on Classification algorithms Experience with Document Type classifier, Pattern matching and PII identification Hands on experience in model training, drift detection and feature generation Expertise in Agile and can work with at least one of the common frameworks Ability to identify network attacks and systemic security issues as they relate to threats and vulnerabilities, with focus on recommendations for enhancements or remediation Dev-ops and application security & data security experience Securing highly available Internet banking application Knowledge of client side applications and micro services architecture Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences Build effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same Ability to quickly acquire new skills and tools Good To Have Skills: Computer Vision problem solution, Advanced pattern matching PII identification and extraction Document type classifiers Standardised form matcher Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 02, 2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
