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hackajob is partnering directly with Kainos to hire for this role. \n Join Kainos and Shape the Future \n At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n \n We believe in a people-fir... \n \n \n \n \n ZIPC1_UKTJ

Description Onera Health is a leader in transforming sleep medicine and remote monitoring. Our breakthrough diagnostic solutions and services are poised to help millions of people struggling with sleep-related ailments, while also impacting other medical fields by monitoring a variety of chronic conditions, ultimately improving the health and quality of life for patients around the world. The company’s innovative solutions provide comprehensive sleep test data to physicians in a variety of clinical and non-clinical environments to optimise patient care and reduce healthcare costs. Onera’s FDA-cleared and CE-marked home polysomnography (hPSG) platform delivers lab-quality diagnostics in the home through a fully integrated “PSG-as-a-Service” model. The UK is a priority market in Onera’s European expansion. In the UK, Onera goes to market through a clinical service provider partner rather than selling direct. The partner brings established NHS relationships and a top-down route into hospitals at executive level; Onera’s Clinical Sales Specialist works alongside them in the field — managing that partnership day to day and building demand from the bottom up at the clinical and departmental level, where sleep diagnostics credibility matters most. This is deliberately not a traditional, quota-closing field sales role. The close is driven through the partner’s executive-level motion. Your job is to create clinical pull — winning the confidence of sleep and respiratory teams, demonstrating the platform, and enabling the partner’s commercial engine — so that demand and adoption build underneath it. Success depends on clinical fluency and partner enablement far more than on personal deal-closing. Key Responsibilities Partner & Channel Management • Manage the relationship with Onera’s UK clinical service provider partner in the field, acting as the day-to-day point of contact and ensuring alignment between the partner’s commercial activity and Onera’s clinical priorities., • Enable and support the partner’s teams — equipping their representatives to position Onera accurately, and complementing their top-down, executive-level route into hospitals with clinical depth from the field., • Coordinate joint account planning with the partner, identifying target hospitals and sleep services and aligning on how each opportunity is progressed. Bottom-Up Clinical Demand Creation • Build demand from the clinical level up — winning the confidence of sleep physicians, respiratory teams, neurophysiology units, and sleep-laboratory staff so that clinical pull supports the partner’s top-down approach., • Engage credibly at peer level with consultants on sleep disorders — obstructive sleep apnoea, central sleep apnoea, narcolepsy, RLS/PLMD, and parasomnias — and on the wider diagnostic pathway (respiratory polygraphy, HSAT, CPAP titration, actigraphy, MSLT/MWT)., • Demonstrate and train clinical staff on the Onera platform unaided, drawing on hands-on familiarity with full diagnostic polysomnography — multi-channel attended studies including EEG, EOG, EMG, ECG, airflow, respiratory effort, SpO₂, and body position — and an understanding of manual sleep staging and event scoring to AASM guidelines, not just auto-scoring., • Build visibility with UK sleep-medicine KOLs and engage with national bodies such as the British Sleep Society and the ARTP. Territory Coverage & Field Execution • Cover the United Kingdom as Onera’s sole field-based representative, prioritising across regions, qualifying hard, and concentrating effort where clinical adoption can build rather than spreading too thin., • Maintain disciplined CRM hygiene and pipeline visibility, self-managing a national field role and giving Onera and the partner a clear, current picture of clinical engagement and opportunity., • Act as the clinical and commercial point of contact in the field, troubleshooting product-related questions and escalating to the appropriate internal stakeholders where needed. Market Intelligence & Collaboration • Track market trends, competitor activity, and customer feedback to inform product positioning and the UK partner strategy., • Collaborate with cross-functional teams across marketing, product, customer success, and clinical to align field activity with the wider commercial plan. Requirements • Clinical sleep background. Formal clinical background in sleep or respiratory diagnostics — e.g. registered sleep/respiratory physiologist, clinical scientist (Healthcare Science), or RPSGT — with the ability to demonstrate and train clinical staff unaided. Strongly preferred; exceptional candidates with deep, hands-on sleep/respiratory diagnostic exposure and genuine peer-level clinical credibility will also be considered., • Clinical credibility in the field. Able to hold peer-level conversations with consultants and clinical teams and to build confidence and adoption at the departmental level., • Commercial or clinical-specialist experience. A track record in a clinical sales specialist, clinical application, or field clinical role in medical devices or diagnostics — or a clinical background combined with clear commercial instinct., • Self-managing field discipline. Comfortable self-managing a national field role with sound CRM and pipeline discipline., • National coverage & travel. Willingness to travel extensively across the UK, with the autonomy to prioritise across regions., • Fluent English and excellent communication and interpersonal skills, with the ability to build trust-based relationships with clinical stakeholders and partner teams. Benefits • Remote / hybrid working model, with the technical equipment to set up your home office, • A competitive compensation package, • An open, collaborative company culture grounded in shared mission and team engagement, • The opportunity to join a scale-up at a defining commercial moment in sleep diagnostics

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth. **This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India. We are growing our team and looking for a Lead ML/AI Platform Engineer. As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices. You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment. Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions. Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration. Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs. Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem. Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment. Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment. Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps. Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike. Required 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end. Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls. Hands-on experience with both operating models we use: AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows. Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry. Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads. Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved. Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval. Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices. Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM. Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch. Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team. Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership. Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work. Nice to Have Experience with ClickHouse or a comparable columnar / real-time analytical database. Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF). Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving). Infrastructure-as-code (Terraform, AWS CDK, CloudFormation). Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent. Open-source contributions, conference talks, papers, or patents in ML / applied ML. Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships. DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists. Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side. Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how. Distributed processing: AWS Glue Orchestration: AWS Lambda, AWS Step Functions Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore Open-source ML: JupyterLab, Spark, MLflow Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse Languages: Python (ML, pipelines), Java (microservices) Why This Role Matters Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes. Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years. Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions. Additionally we provide Equity Compensation Package Flexible Time Off (FTO) - take time off as needed to rest and recharge. Medical, Dental, Vision – 100% premium paid for employee Disability/Life Insurance Opportunity for learning and career growth with a top Bay Area technology company Reimbursement for remote work setup Monthly stipend for phone and internet Team building events, culture activities, all hands events Paid time off to volunteer and serve the community Half day Fridays 401k matching contribution Beautiful California East Bay offices in Dublin, CA SavvyMoney’s EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the_

What you bring to the team:Bachelor's degree in a technical field such as mathematics, statistics, computer science, or economics, or equivalent practical experience; a Master's degree or PhD in a relevant field is a plus2+ years of professional experience as a data scientist developing predictive m

Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into produc

Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Experience with data storage for AI, vector databases, semantic search

Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources. Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Our 150-strong AI and Data Practice brings together deep expe

Strong interpersonal skills, with the ability to lead client projects and explain technical concepts in non-technical terms. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e. Whether we’re transforming digital services for millions,

As an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyz

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

About Node4 We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People We are: Nimble – We focus on what matters most, adapt fast and embrace change Original – We think differently, stay curious and innovate Driven – We are bold, bring energy and own the outcome Engaged – We operate as one, building strong relationships 4 More – We always go further for our people, customers and partners About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You’ll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You’ll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Key Tasks and Responsibilities Your primary responsibility will be to participate in the scoping, design, documentation and implementation of Data Platform solutions to our clients in a client facing role, and your experience will reflect the necessary consultancy skillsets. Activities you would be expected to conduct include: Conduct workshops with our clients, working closely with your cross-functional colleagues, to understand and capture their solution requirements Producing High-Level Design (HLD) and Low-Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre-sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self-driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem-solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non-Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance Desirable Skills Hold or be capable of obtaining role-relevant Microsoft certifications such as Fabric Analytics Engineer Associate Azure Data Engineer Associate Power BI Data Analyst Associate Azure Data Scientist Associate Experience with using Python for appropriate data engineering workloads Experience with configuring and implementing Microsoft Purview as part of a data platform solution Experience with delivering data solutions through Databricks, and configuring and implementing the Unity Catalogue Knowledge/experience of Dynamics Business Central/NAV, Finance and SCM, and other Microsoft Business Applications database structures What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company. TAKE A LOOK AT _

Our clients are looking for Data Scientists to join their team. Work closely with the Chief Data Scientist to align technical strategy, receive mentorship, and ensure rigorous quality assurance across all project deliverables. GCP, IBM Cloud) and related services, as well as experience with relation

Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio.

We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. Learning budget of £1,000 a year for books, training courses and conferences. London/Cardiff/UK Remote | 💰 £86,000-105,000 +.

Document problem statements clearly with realistic business contexts and provide verified correct answers. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.

Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Why this freelance opportunity might be a

This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers.

Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role. Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Te

In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions. Experience in uncovering business-driving data insights.

Join Kainos and Shape the Future.At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact.Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it t

AI Architect Up to £120k + Bonus + Benefits Remote (UK) | Occasional Client Travel Architect the Future of Enterprise AI AI is moving beyond experimentation and this consultancy is helping some of the UK's largest organisations turn AI ambition into real-world capability. We're looking for an experienced AI Architect to join a growing AI practice, designing and delivering secure, scalable and production-ready AI solutions across enterprise environments. This is a role for someone who understands that successful AI transformation requires more than selecting the latest models. It requires strong architecture, robust data foundations, governance, security, and the ability to translate emerging technologies into measurable business outcomes. Working across Generative AI, Agentic AI, Machine Learning and enterprise data platforms, you'll help organisations move from AI strategy and proof-of-concept through to scalable production adoption. You'll work closely with senior stakeholders, technical teams and delivery specialists to define AI architectures, establish best practices and shape how enterprise AI is built and deployed. This is not a role focused purely on governance or architecture documentation. You'll remain close to the technology, influencing design decisions, guiding delivery teams and helping build solutions that create genuine business impact. What You'll Be Doing You'll lead the architecture and delivery of enterprise AI solutions across the full lifecycle from discovery and strategy through to implementation and scale. Your responsibilities will include: • Designing enterprise-scale Generative AI, Agentic AI and Machine Learning architectures, • Creating AI solutions using Microsoft Foundry / Azure AI Foundry and Copilot Studio (essential), • Defining AI platforms, frameworks and reference architectures for large organisations, • Designing intelligent agent solutions, AI assistants and LLM-powered applications, • Developing secure and governed AI approaches aligned with Responsible AI principles, • Advising senior stakeholders on AI strategy, technology choices and investment decisions, • Supporting client engagements from early discovery through production deployment, • Creating reusable AI accelerators, patterns and delivery frameworks, • Providing technical leadership and guidance to engineering and delivery teams, • Supporting the continued growth and maturity of the AI consulting practice Technology Environment You'll work across a modern Microsoft-focused AI ecosystem including: • Microsoft Foundry / Azure AI Foundry (mandatory experience), • Microsoft Copilot Studio (mandatory experience), • Azure AI Services, • Azure OpenAI Service, • Microsoft Agent Framework, • Semantic Kernel, • Power Platform, • Enterprise Data Platforms, • Azure Machine Learning, • Retrieval-Augmented Generation (RAG), • Large Language Models (LLMs), • Agentic AI architectures, • LangChain / LangGraph, • MLOps & LLMOps, • Cloud-native architectures, • Data governance and security frameworks What We're Looking For You'll likely be operating as an AI Architect, Lead AI Consultant, Principal AI Engineer, Principal Data Scientist or similar senior AI leadership role. You'll bring: • Proven experience designing and delivering enterprise AI solutions in production environments, • Strong hands-on experience with Microsoft / Azure AI Foundry and Copilot Studio (essential), • Deep understanding of Generative AI, LLM architectures, RAG and AI agents, • Experience building AI solutions beyond proof-of-concept into scalable production services, • Strong Azure and Microsoft ecosystem expertise, • Experience with AI governance, security, data privacy and Responsible AI principles, • Understanding of modern data platforms and AI-ready data architectures, • Experience working with senior technical and business stakeholders, • Strong consulting skills with the ability to translate complex AI concepts into business outcomes, • The ability to provide technical leadership while remaining close to delivery Why This Opportunity Stands Out AI is not an experiment here it is a strategic investment area with executive sponsorship, significant client demand and a growing pipeline of enterprise transformation programmes. You'll have the opportunity to: • Work on complex AI challenges at enterprise scale, • Design solutions using the latest Microsoft AI technologies, • Influence AI adoption across major organisations, • Work alongside leading specialists across AI, data and cloud, • Shape reusable AI frameworks and best practices, • Continue developing your expertise through certifications, innovation and training The AI market is crowded with organisations experimenting, this opportunity is with a business that's already delivering. If you're ready to architect AI solutions that operate at enterprise scale and shape the next generation of intelligent systems, we'd love to hear from you. JBRP1_UKTJ

Branch: Belfast HSCT Location: MEDICAL PHYSICS BUILDING Directorate: Surgery & Specialist Services Salary: Band 7 (£47,810 - £54,710) Contract Type: Permanent Opening date: 18/08/26 Closes: Tue, 01 September 2026 @ 4:00 PM Interview Dates: TBC A waiting list may be created for similar posts that m

Proven track record as a Senior Data Scientist delivering end-to-end ML/AI solutions and working with large, complex datasets. Senior Data Scientist - SC Cleared Active. You will partner with Service Delivery, Digital, and Transformation teams to turn complex datasets into actionable insights that d

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Senior Biomedical Scientist or Specialist Biomedical Scientist background. Job ID: 31154764Company: Abbott LaboratoriesLocation: United Kingdom - RemoteJob Type: Full timeCategory: Customer & Technical SupportIndustry: HealthcarePosted Date: 2026-08-28Take Your Biomedical Science Career Beyond the L

As a Clinical Scientist, you will serve as a trusted scientific partner to sponsors, investigative sites, and internal stakeholders, ensuring the successful delivery of scientific services across global clinical trials. At least 3 years of experience in a Clinical Scientist, Clinical Trial Science L

Parexel is looking for a Bioinformatics Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomFranceSpainRomaniaSerbiaLithuaniaPolandThe Bioinformatics Scientist role will fulf

You will be supported by experienced soil scientists and environmental professionals who will help you develop your technical knowledge and professional skills.

The Senior PV Safety Scientist is expected to be professional and diligent and liaises with the director and management group members within the team on any issues, as well as coordinate the work performed by PV Scientists. The Senior Pharmacovigilance (PV) Scientist supports the activities in the B

Parexel is looking for a Senior Associate Bioinformatics Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomGermanyFranceSpainRomaniaSerbiaLithuaniaPolandThe Senior Associat

As Senior Bioinformatics Scientist, you will be responsible for managing a team of Bioinformaticians working directly with RNA sequencing, proteomics data and whole genome sequencing.

About the role:Are you passionate about advancing product quality, patient safety, and innovation in healthcare manufacturing? As a Senior Sterilization Validation Scientist, you will play a critical role in shaping sterilization and sterility assurance strategies across multiple manufacturing sites

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team.

Parexel is looking for a Senior Associate Biomarker Data Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomFranceSpainRomaniaSerbiaLithuaniaPolandThe Senior Associate Bioma

About the roleAs a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition.