27 jobs found

MFA Technical Engineer Role ( Solid IAM and MFA experience) The role is for a MFA Technical Engineer with significant experience in delivery projects into large organisations with many stakeholders. The successful candidates must therefore have strong social skills across different mediums and ability to communicate a vision based on developing technology. The successful candidate will have a strong general technical background with hands on experience delivering IAM and infrastructure projects. Inside IR35 - Based in Sheffield 2-3 day a week - non-negotiable Key responsibilities Engineer and support MFA solutions across enterprise identity platforms (eg, Azure AD/Entra ID, iSeries, ADFS, etc). Deliver authentication patterns: OIDC/OAuth2, SAML2, Kerberos/LDAP, session management, token lifecycle. Integrate apps with enterprise IAM/SSO platforms (AD, ADLDS, ADFS, Entra). Integrate MFA with applications using standards and protocols (SAML 2.0, OAuth 2.0, OpenID Connect, RADIUS, LDAP). Strong understanding of authentication vs authorisation, identity lifecycle, and trust boundaries. Implement and maintain authentication policies (conditional access, step-up authentication, risk-based controls, device posture). Manage MFA factors and lifecycle: push, OTP, FIDO2/WebAuthn, hardware tokens, SMS/voice (where permitted), backup codes, recovery flows. Monitor service health and security events; tune alerting and dashboards. Troubleshoot complex authentication issues (SSO/MFA failures, token/certificate issues, clock drift, network/proxy constraints). Partner with IAM, Cyber Security, Architecture, and application teams to deliver secure-by-design integrations. Strong understanding of authentication vs authorisation, identity lifecycle, and trust boundaries. Produce and maintain technical documentation, runbooks, and knowledge articles; contribute to operational readiness Support audits and control testing; evidence compliance with security and regulatory requirements. Participate in on-call/incident response, problem management, and continuous improvement. Essential Skills Knowledge of Multi-Factor Authentication/Passwordless Authentication technology is required. Strong hands-on experience with federated protocols (OIDC/OAuth2/SAML). Experience with at least one IdP platform and troubleshooting tools. Strong understanding of authentication vs authorisation, identity lifecycle, and trust boundaries. Support PoC/Pilot testing and planning for rollout for new authentication patterns. Work with Architecture on production infrastructure design. Present at stakeholder forums to provide updates on the project deliverables and achievements. Is technically versed on modern authentication protocols and can have technical discussion to support issues identified during implementations. Conduct reviews with service owners to complete/review technology assessments to determine suitable approach. Plan and support IAM Authentication implementation. Familiar with JIRA/Confluence and can support our journey to use these tools better. Hands-on experience engineering MFA/SSO within an enterprise IAM environment. Working knowledge of PKI, certificates, TLS, and key management concepts. Experience operating production services: monitoring, incident management, change/release processes. Desirable Skills Previous experience of working in financial services, ideally HSBC experience. EntraID/AzureAD experience. Scripting/automation skills (PowerShell and/or Python) and familiarity with APIs. Experience with FIDO2/WebAuthn and phishing-resistant MFA rollouts. Knowledge of Zero Trust and adaptive/risk-based authentication. Familiarity with privileged access controls (PAM) and strong authentication for admin workflows. Cloud identity experience (Azure/AWS/GCP) and hybrid identity (AD, ADFS). ITIL practices and experience in regulated environments (financial services). Understanding of regulatory/security expectations (least privilege, auditability). Qualifications Degree in Computer Science, Engineering, Cyber Security, or equivalent experience. Security/IAM certifications are a plus (eg, Microsoft Identity, Okta/Ping certs, CISSP/SSCP, GIAC-role dependent).

We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.

Software/Firmware Engineer Location: Sandwich, Kent Contract: Permanent Rate: Competitive Our Client is seeking a skilled Software/Firmware Engineer to join their engineering team. This role involves designing, developing, and testing embedded software and applications for innovative products, working as part of a multidisciplinary team. Key Responsibilities: Develop software and firmware for product design within an integrated engineering team. Produce design documentation, including specifications, manuals, and test procedures. Implement strategies for new functions and maintain clear design records. Ensure compliance with ISO 9001:2015 standards and company procedures. Support continuous improvement and contribute to project success. Requirements: Degree in Computer Science (2:1) or equivalent experience. Experience in application development using C# .NET; knowledge of C/C++ advantageous. Familiarity with Android development (Xamarin) desirable. Full software lifecycle experience, including design, development, testing, and maintenance. Structured design methodology (UML or similar). Ability to think conceptually and deliver technical solutions under minimal supervision. Eligible for SC security clearance and hold a full UK driving licence. Desirable: Electronics knowledge and independent verification experience. Track record in producing high-quality code in application or embedded environments. Benefits: 9-day fortnight (every other Friday off). Competitive salary, profit-sharing scheme, stakeholder pension, and death-in-service cover. Rewards and recognition programme and employee engagement initiatives. This is an excellent opportunity for a motivated engineer to work on cutting-edge projects and contribute to innovative software solutions. About Morgan Jones: Morgan Jones Limited acts as an employment agency. By applying, you accept the Terms & Conditions as well as the Privacy, Cookie, and Data Retention Policy which can be found on our website. Due to the high volume of applicants we see, if you have not heard back from us within 72 hours, please assume that you have been unsuccessful on this occasion. To view other great opportunities, visit our website or follow Morgan Jones on your favourite social networks Facebook, Instagram, Twitter, or LinkedIn.

Are you passionate about bridging development and operations to deliver seamless software solutions? Do you thrive in creating automated CI/CD pipelines and managing cloud infrastructure? What are the benefits? Competitive salary Career development opportunities Become a member of an Employee-owned trus Cycle to work scheme Option to buy additional leave What are your key responsibilities? Design, build, and maintain automated CI/CD pipelines for rapid and reliable releases Develop scripts and tools (e.g., Ansible) to automate operational tasks and infrastructure provisioning Implement monitoring and alerting systems to ensure application health and performance Manage infrastructure across on-premises and cloud environments (AWS, Azure) Ensure security compliance and implement best practices for applications and infrastructure Collaborate with internal teams and stakeholders to streamline development and deployment Troubleshoot technical issues and provide support during incidents Continuously improve processes and adopt DevOps best practices What are we looking for? Bachelor's degree in Computer Science or related field 3+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering Strong Linux system administration and networking skills Experience with Docker and containerised deployments Familiarity with PostgreSQL database management and performance tuning Knowledge of backup/DR, load testing, and server hardening Apply now to be part of our growing team!

Application Software Engineer Location: Fareham, Hampshire Salary: Up to 65,000 DOE + Benefits We are seeking an experienced Application Software Engineer to join a leading engineering team developing innovative software solutions for advanced underwater robotics systems. This is an exciting opportunity to contribute to the next generation of autonomous and remotely operated underwater vehicles, working across both application and backend software development. Key Responsibilities Design, develop, and implement application software solutions for underwater robotics and autonomous systems. Architect and develop backend server infrastructure and software frameworks. Develop high-performance software in C++ for next-generation underwater vehicles. Maintain, support, and enhance existing software products and codebases. Collaborate with multidisciplinary engineering teams to deliver robust and scalable software solutions. Contribute to software architecture, design reviews, and continuous improvement initiatives. Required Skills & Experience Degree in Software Engineering, Computer Science, Electronics, Engineering, or a related discipline, or equivalent commercial experience. Extensive commercial experience developing software in C++ . Experience developing control or automation software for complex systems. Strong understanding of software architecture, design patterns, and best practices. Experience designing and developing backend server applications and services. Familiarity with modern web technologies and web-based application development. Exposure to front-end development, with the ability to create functional user interfaces and web pages. Proficiency in one or more of the following technologies: JavaScript, Python, XML, JSON, HTML, and CSS . Experience developing software on both Windows and Linux platforms. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.

Senior Software Developer - Industrial Automation Environment We are seeking a Senior Software Developer to play a key role in designing, building and maintaining core software applications that support advanced automated materials handling, warehouse automation and robotics-led production environments. This is a software-led position, focused on developing production-grade applications, platforms and user interfaces. While the software operates within an industrial setting, the primary responsibility is software engineering - not hardware configuration or PLC programming. You will join a team responsible for modernising an existing technology stack, contributing to the transition from Python/Django to C#/.NET and Blazor. This role offers ownership across application design, architecture, and long-term maintainability, alongside close collaboration with engineering teams to ensure software aligns with real-world systems. Key Responsibilities Design, develop and maintain core software applications used in automation and production environments Lead hands-on development in C#/.NET, contributing to system migration and platform evolution Build and enhance operator-facing applications, dashboards and visualisation tools displaying real-time system data Own application logic, workflows and behaviour within production systems Contribute to overall software architecture, technical standards and development best practices Implement and maintain version control and CI/CD pipelines using GitHub Ensure applications are reliable, maintainable and resilient, with a strong emphasis on fault handling and diagnostics Collaborate with controls, robotics and mechanical engineers to ensure seamless integration with physical systems Support testing, commissioning and deployment of software releases Mentor junior developers and contribute to technical decision-making within the team Required Skills & Experience Software Development Strong commercial experience with C# and .NET Experience building user interfaces and application logic using Blazor or similar frameworks Background in Python, ideally within Django environments (particularly for legacy systems or migrations) Hands-on experience with GitHub, including branching strategies, pull requests and CI/CD workflows Strong understanding of clean code principles, maintainability and scalable software design Industrial / Operational Environments Experience developing software for industrial, manufacturing, automation, logistics or IoT environments Understanding of how software interacts with PLC-controlled or machine-driven systems (no PLC programming required) Comfortable working in environments where uptime, reliability and performance are critical Systems & Architecture Experience designing and maintaining long-running, production-grade systems Ability to build fault-tolerant applications interacting with external systems and data sources Strong debugging, troubleshooting and problem-solving capability What This Role Offers The opportunity to work on real-world, high-impact systems combining software, robotics and automation Ownership of critical applications that directly influence operational performance Involvement in a large-scale technology modernisation programme A collaborative, multidisciplinary environment with exposure to cutting-edge automation technologies Influence over technical direction, standards and best practices Role Scope This role is: A hands-on senior software development position Focused on building robust, scalable applications Product and platform oriented Embedded within a real-world automation environment This role is not: A PLC programming position A controls engineering or systems integration-only role A pure web or SaaS-focused development job To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

AI Engineer 6-Month contract - Inside IR35 - market rate Reading based - hybrid working - 2 days a week on site The AI Engineer is responsible for designing and implementing AI-driven solutions, with a focus on document intelligence, automation, and scalable AI workflows. Aligned to an outcome-based delivery model, the role ensures AI capabilities are production-ready, validated, and integrated into enterprise systems to deliver measurable business value. Responsibilities: Design and build AI-driven workflows for document extraction and processing. Develop and integrate AI pipelines into enterprise applications. Support scaling of AI capabilities across datasets and use cases. Ensure alignment with enterprise architecture, data governance, and security standards. Build and optimise AI pipelines for extraction, transformation, and validation. Ensure accuracy, quality, and performance of AI outputs. Implement validation frameworks and tracking for AI model performance. Deploy AI services through secure APIs into production environments. Embed QA and governance practices into AI development lifecycle. Support continuous improvement of AI models and workflows Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines. Use AI techniques to improve automation, extraction accuracy, and operational efficiency. Support broader adoption of AI-assisted engineering practices. Ensure responsible and secure use of AI technologies in line with enterprise policies. Continuously explore emerging AI capabilities to enhance delivery outcomes. Skills & Experience: Experience with AI/ML workflows and document intelligence solutions. Strong programming skills (Python, APIs, data processing frameworks). Experience with cloud-based AI services and scalable architectures. Understanding of model validation, accuracy, and lifecycle management. Experience integrating AI into enterprise systems. Experience developing and deploying AI or machine learning solutions. Strong programming and analytical skills. Understanding of model validation, performance, and governance. Experience integrating AI into production systems. Experience working in Agile/DevOps teams. Degree in Artificial Intelligence, Computer Science, Data Science, or equivalent experience Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

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.

Morson are working with the aerospace manufacturer who are looking for a NC Programmers to join the team based at their site in Samlesbury. Role Overview We are seeking a skilled NC Programmer to develop, test, and optimise numerical control programmes that support the production of precision aerospace components. The successful candidate will programme and adjust CNC machine tools to ensure efficient, accurate manufacturing in line with engineering drawings and specifications. This role demands close collaboration with manufacturing and engineering teams to consistently deliver high-quality components within set deadlines. Key Responsibilities Create and maintain NC programmes for milling, turning, grinding, and other CNC machinery using appropriate programming software. Interpret engineering drawings, technical specifications, and geometric dimensioning and tolerancing (GD&T) standards to produce precise programmes. Optimise machining operations to enhance efficiency, reduce waste, and uphold stringent quality standards. Conduct simulations and test runs to verify programme accuracy and functionality before production. Modify existing programmes to resolve machining challenges or improve performance, based on feedback and inspection outcomes. Work closely with design, manufacturing, and quality teams to ensure programmes comply with production and safety requirements. Maintain comprehensive documentation of programmes, revisions, and processes in accordance with company and industry standards. Monitor machine tool performance and provide technical support to operators as necessary. Adhere strictly to health and safety regulations and company policies within the workplace. Essential Qualifications Proven experience in NC programming within aerospace, aviation, or precision engineering sectors. Proficiency with industry-standard programming software such as Siemens NX, CATIA, Mastercam, or equivalents. Strong knowledge of CNC machining processes, including milling, turning, and grinding. Ability to accurately read and interpret complex engineering drawings and technical documentation. Good understanding of geometric dimensioning and tolerancing principles. Familiarity with quality assurance standards relevant to aerospace manufacturing. Knowledge and Skills Excellent numerical and analytical skills to interpret data and resolve programming challenges. Exceptional attention to detail to ensure accuracy and compliance with specifications. Effective communication skills to collaborate with multidisciplinary teams. Strong problem-solving ability, adapting programming solutions to evolving production needs. Good organisational skills to manage multiple programming tasks and meet deadlines efficiently. Proficiency in computer-aided manufacturing software and related tools. If you have would like to apply for this position please submit an up to date CV.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Your New Company and Role Join a dynamic digital team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns Data structures and algorithms for efficient data processing and model optimisation Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): Lambda function development with proper event handling and response formatting S3 operations including multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging Understanding of IAM and security for role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerised AI deployments API Development : FastAPI for building REST APIs and model serving endpoints Requests library for HTTP client operations and external API integration Authentication/authorisation implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialised AI/ML expertise Design and implementation of AI/ML solutions using service-based and serverless architecture Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences Development Practices: Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana Experience working in Agile delivery models - Scrum and/or Kanban frameworks Formal XP engineering techniques including TDD and pair programming Working within defined infrastructure-as-code frameworks What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.