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Children's Home Registered Manager (4 bed home) Location: Nottingham Contract Type: Full-time, permanent Specific Hours: 39 hours per week Salary: Up to £62,200 (includes Ofsted and Occupancy bonuses) Accountable to: Accountable to the Responsible individuals and Operational Directors At Dove Adolescent Services we support young people within our care to develop emotional resilience to achieve their full potential in all areas of their lives. The underpinning ethos within our homes is of fostering appropriate relationships with young people and their significant others, to support them within their future transitions into adulthood. We are currently seeking a Children's Home Registered Manager to join our services in Nottingham, looking after our brand new 4 bed home. Main Purpose of Job The Registered Manager needs to hold accountability and overall responsibility for the day to day management of the home to ensure we deliver a high quality level of care, ensuring the home actively promotes the rights of young people as individuals and provides them with quality care in accordance with the policies and procedures of the organisation. To lead a team of care workers, in conjunction with relevant legislation and guidance to ensure that good outcomes are achieved for young people within the home to meet their physical, psychological, emotional & social development. To contribute to the overall ethos, values and aims of organisation. Main Duties and Responsibilities Responsible for Service and Practice • The development and delivery of high-quality care in accordance with relevant Legislation, Regulations, including Ofsted SCCIF and The Organisations Policy and Procedures guidelines, showing an awareness to integrate an equal opportunities approach, and working in an anti-discriminatory way and incorporate safeguarding responsibilities., • Adherence to all legislative guidelines in respect of Health & Safety and ensure that all staff have adequate working knowledge and training., • The keeping of appropriate records relating to both young people and employees and the implementation of monitoring and evaluation systems within the organisation., • The provision of management information including the collection and return of statistical information as required., • To develop and promote new techniques and approaches to childcare provision based in the home and be part of the senior team of the organisation, positively promoting its well-being., • To attend, prepare for and chair various meetings both internally and externally., • On a rota basis to take on-call responsibilities - if required to undertake sleep in shift to cover shortfalls., • The ability to write concise and evaluative reports and oversee all written communication to enable us to sustain the required standards., • To be responsible for decision making when appropriate., • Oversight of all admissions and discharges to the home., • An ability to innovate change and effectively lead a vision in line with the organisational ethos., • To be involved in the recruitment of new employees, ensuring all relevant checks are completed., • To ensure that all staff are adequately inducted, supervised and appraised in line with the organisational policy, • To oversee Continuous professional development of staff team - ensuring all mandatory training requirements are met., • To maintain effective Rota's and complete monthly expenses., • Monitoring the service budget and all financial transactions, ensuring financial targets are achieved and adhered to., • To promote the organisation in a positive way with external agencies, other professionals and members of the general public as required, • To liaise with commissioners/ referrals manager regarding admissions., • Enthusiasm in providing the highest quality care and education, • Experience of managing a team, • Comprehensive knowledge and understanding of child protection and safeguarding procedures, • Familiarity with the needs of vulnerable individuals, • Demonstrate high standards of safe working practice, • Ability to develop and maintain effective working relationships with colleagues, young people and outside agencies, • Ability to maintain emotional resilience in working with challenging behaviour, • Demonstrate respect for appropriate boundaries and authority, • Ability to maintain confidentiality at all times, • Demonstrate an understanding and commitment to equal opportunities, • Holds a current UK driving licence / has the use of appropriate transport, • Flexible and reliable, • 25 days per annum plus 8 statutory holidays, • £3000 Bonus- Outstanding Ofsted Report, • Full Occupancy Bonus- £600 a month, • On Call payments- £25 weekday, £35 weekends, • 39 hours full time, sleep in duties required as set out per Rota of home., • Some office days will be required to assist in administrative duties, • Petrol Allowance - Paid when using own car - proof of business insurance must be provided

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Process Excellence Advisor About this role As a Process Excellence Advisor you will be responsible for supporting all functional areas in relation to Business Processes in terms of documentation, governance and monitoring performance. You will lead, advise and support on a range of activities ensuring the business has clear, up to date and end to end process maps in place utilising standardised documentation. Upskilling, coaching and training Process Managers in Process Excellence and supporting with process optimisation initiatives as well as documenting new processes. The ideal candidate will possess strong analytical and problem-solving skills, excellent communication and influencing abilities, and a passion for fostering a culture of continuous improvement and sound risk management. What you’ll do * Define and implement the frameworks for how we document and monitor processes across the UK business. * Create and lead workshops to upskill Process Managers in process excellence tools and methodologies. * Implement standardized documentation to ensure clarity and eliminate silos. * Manage process-related projects from initial discovery through to successful launch. * Build influential relationships across the business to ensure new processes are adopted smoothly and effectively. * Support the business in remaining "well-managed" by identifying performance gaps and supporting optimization initiatives. What we’re looking for * A well organised and detail orientated individual * Experience in process management, risk/governance frameworks, and process improvement methodologies. * Ability to build strong relationships and influence stakeholders across the business * Previous experience of problem solving through process evaluation * Strong organizational skills and the ability to remain focused and flexible in a changing environment * Experience of delivering training to groups face to face and / or on-line Nice to have * Awareness of Lean / Six Sigma tools and methodologies * Risk management experience, or a desire to learn and grow your career in this field. * Previous experience of working in a highly-regulated industry and/or corporate environment Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Learning & Development Partner Hybrid working (office/home based) Healthcare / regulated environment A well-established organisation operating within a regulated healthcare environment is seeking an experienced Learning & Development Partner to lead learning and development across a defined operational region. This is a highly visible, consultative role, working closely with senior operational and clinical leaders to ensure learning activity is strategically aligned, risk-based and delivers measurable improvements in capability, performance and care quality. The Role As Learning & Development Partner, you will act as the strategic owner of learning within your region, partnering with Operations Directors, Regional Service Directors and local leadership teams to deliver impactful, future-focused learning solutions. Key elements of the role include: • Owning and delivering a single, integrated regional learning plan aligned to clinical, operational and regulatory priorities, • Providing professional L&D consultancy to senior stakeholders, • Driving consistency, discipline and quality in learning delivery across multiple sites, • Feeding regional insight into central L&D strategy and curriculum development Key Responsibilities Regional Learning Planning & Alignment • Develop and maintain a regionally owned annual learning plan aligned to:, • clinical and operational priorities, • workforce risks and capability gaps, • statutory, mandatory and regulatory requirements, • Work with senior operational, quality and clinical stakeholders to prioritise learning needs, • Ensure plans are realistic, resourced and risk-based Monitoring, Evaluation & Performance Improvement • Track delivery against the learning plan and escalate risks to completion, • Evaluate learning quality and impact using feedback, compliance data, competence assessments and training matrices, • Identify performance trends and recommend improvements or changes to delivery approach Quality Assurance of Training Delivery • Observe learning delivery to assess quality, accuracy, consistency and effectiveness, • Provide coaching and developmental feedback to facilitators and trainers, • Ensure learning is delivered by appropriately skilled and competent facilitators Learning Strategy & Insight • Provide insight to central L&D on curriculum gaps, outdated content and emerging needs, • Represent regional risks, priorities and opportunities within central L&D forums Stakeholder Engagement • Act as the primary L&D contact for senior regional stakeholders, • Build strong working relationships across Operations, Quality, Clinical, HR and L&D teams, • Act as a connector between regional operations and the central L&D function Reporting, Insight & Risk Management • Produce concise, insight-led reports covering progress, risks, capability gaps and compliance issues, • Ensure learning data is accurate, reliable and triangulated with workforce and performance data, • Implement and monitor evaluation frameworks to demonstrate learning impact About You You will be a confident and credible L&D professional with experience operating in complex or regulated environments, ideally within healthcare. Essential skills and experience: • CIPD Level 5 in Learning & Development (or equivalent), • Strong understanding of adult learning principles and instructional design, • Experience of L&D governance, compliance frameworks and Learning Needs Analysis, • Proven experience delivering both clinical and non-clinical learning solutions, • Strong stakeholder management and influencing capability, • Experience leading L&D initiatives across multiple sites or regions, • Proven ability to evaluate learning impact and drive continuous improvement, • Strong analytical and reporting skills, • Confident use of LMS platforms and digital learning tools, • Coaching and mentoring capability Desirable: • Hybrid working model, • Flexibility required around working hours and travel, • UK driving licence required where applicable, • Pre-employment checks will be required, • Strong commitment to safeguarding, health & safety, and equality, diversity & inclusion This role offers the opportunity to make a tangible impact on workforce capability, learning quality and organisational performance within a values-led, regulated environment. Apply directly to be considered or email

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • 3+ years of software engineering experience., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • 3+ years of software engineering experience., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Venesky Brown Recruitment are currently looking for a Quality Management Lead to join work with the Sizewell C team. This role is a contract position (day rate) which can be based in Suffolk, London or Bristol offices, with hybrid working. Job Purpose / Overview: • The role of the Quality Management Lead (QML) is to ensure Sizewell C (SZC) Project quality requirements are complied with across the full project life-cycle (Contract award, Design, Procurement, Manufacture, Test, Shipping, Construction/Installation, Test/Commission and Contract close out)., • The primary purpose of the Quality Management Lead role is to ensure supply-chain adherence to the contracted quality assurance and quality control requirements. QMLs sit within the PDO Quality Team and are deployed to Programmes to serve this primary purpose. In so doing, day to day reporting is to the Quality Delivery Manager (QDM) who sets out their Programme quality requirements. This includes development and implementation of Project Quality Control Plans and associated inspection and surveillance activities., • Their secondary purpose is to support the PDO Quality Director, the Quality Delivery Manager and their programme in achieving adherence with the Integrated Management System arrangements, putting in place additional project-specific arrangements as required and managing quality for all activities within the scope of the programme. For a given portfolio of work, the Quality Management Lead is the single point of contact (SPOC) for all quality related elements associated with the supply chain. The QML will, on behalf of the Quality Delivery Manager, act as ‘Intelligent Customer’ in the capacity of ensuring that arrangements are in place, and effectively implemented by the supply chain, building on the lessons learned from the Hinkley Point C (HPC) project. Quality Management Leads will also support the Quality Delivery Manager and their respective Multi Discipline Team (MDTs) by the provision of quality management expertise to meet the quality requirements. This is to ensure products and/or services are provided Right First Time (RFT) in line with the SZC Project Goals, and in support of RFT, ensure effective resolution of issues and implementation of corrective actions to prevent recurrence. During manufacturing or construction, the Quality Management Lead shall, as ‘Intelligent Customer’, ensure that manufactured equipment or construction conforms to the contract design and technical specifications. The Quality Management Lead will work with inspection and surveillance bodies and the respective suppliers to ensure appropriate mechanisms and arrangements are in place to manage inspection and surveillance activities in the supply chain, and ensure appropriate inspection and surveillance is planned and executed commensurate with the associated risks. The Quality Management Lead shall also carry out their own surveillance on select manufacturing or construction documentation in accordance with the Surveillance Strategy and, where applicable, perform joint inspections with contracted inspection entities, in line with their own Surveillance Plans to oversee inspection performance. As part of demonstrating their ‘Intelligent Customer’ role, the QML shall measure and report quality metrics. to the project, Quality function and Supply Chain Management and perform regular audit of the supplier and the management of their sub-contractors to ensure supplier performance is maintained. Principal Accountabilities General • Support the development of quality (QA/QC) arrangements for deployment across the SZC organisation., • Implement key quality arrangements related to the following topics:, • Manage Quality Execution, • Support Technical Assessment of Suppliers, • Conduct Supplier Audit, • Conducting Manufacturing and/or Construction Surveillance, • Management of Non-Conformances, • Quality Release Certificate Process (where applicable);, • Undertake actions to resolve issues relating to the implementation of quality and to bring about improvements and support others in these actions. Primary accountability: • Review, accept and monitor Contractors Quality Assurance Plans (CQAP) provided by the supply chain., • Identify needs for supply chain audits, perform audits and resolve findings, • Produce Project Quality Control Plans (PQCP) for each contract/project, • In compliance with the PQCP, ensure deployment of key quality contractual arrangements including the General Quality Assurance Specification (GQAS), Lifetime Quality Records (LTQR) Specification, Quality Release Certificate and the Inspection & Test Plan Specification etc., • Provide relevant guidance to contractors, including contractor’s CQAPs, LTQR partitioning strategies and the arrangements for identifying and planning for Quality Related Activities, • Lead the implementation of LTQR reviews, • Support the determination and application of strategies for progressive provision of LTQRs by contractors., • Develop and maintain effective relationships with internal and external stakeholders including contracted inspection entities, • Ensure manufacturing and construction surveillance per contract is applied in a graded approach of safety function and project importance through surveillance offers and performance monitoring of the inspection agencies used, • Ensure overall effectiveness of ITPs submitted by the suppliers, checking that they are fit for purpose from a quality perspective and have been correctly distributed to the relevant internal parties for review and mark-up of the activities they wish to witness, • Where applicable, establish and check planned inspection witness and hold points marked in the supplier Inspection and Test Plans (ITP) / Quality Plans / Follow Up Documents (FUDs) and monitor their completion, • Coordinate, monitor and improve the efficiency of manufacturing documentation review and where applicable, inspection activities performed by contracted inspection entities, • Coordinate and lead the NNB review and acceptance of relevant manufacturing and construction documentation provided by contractors, • Perform joint inspections, surveillance and audit when required, • Support the monitoring and technical resolution of non-conformances including the management of corrections and corrective actions, • Support the review and acceptance of End of Manufacturing Reports (EoMR), End of Construction Status Reports (ECSR) and End of Erection Status Reports (EESR), • Responsible for the review and delivery of the end of manufacturing records, leading to the quality release of equipment to the SZC construction site, or handover of rooms/buildings/areas, • Produce quality documentation (e.g. specifications, procedures) as required. Secondary accountability: • Implement the quality execution plan within the Programme and undertaken reviews and checks to ensure quality is delivered by the supply chain efficiently and in accordance with programme quality requirements, • Identifying potential Quality issues before they arrive to enable mitigating actions, • Ensure supplier quality control requirements are adequately specified within contract documentation submitted in the Invitation To Tender (ITT), • Ensure quality management processes are correctly applied. Knowledge, Skills, Qualifications, Experience Essential • Position requires experience in project delivery, preferably in the nuclear power sector, with significant focus on project quality, with a solid understanding of the Quality Assurance and Quality Control in major projects across engineering, procurement, manufacturing, construction and commissioning., • A clear and considerable understanding of quality management best practice for deployment by large, complex and contract-led organisations., • knowledge of Quality Systems, ISO 9001, ISO 19443, IAEA GSR-2 and interrelated standards, • Confident and articulate communicator, able to prepare presentation material, and comfortable addressing individuals, small groups and very large audiences., • Able to support and implement practical solutions, whilst remaining open to the ideas of others., • Experience of interfacing with project teams and with supply chain organisations., • Analysis of data, preparing reports and making recommendations., • The ability to influence and to provide constructive challenge which is accepted by others., • The ability to build effective relationships with internal and external stakeholders. Desirable • Knowledge of the nuclear sector, ideally new build., • Knowledge & understanding of nuclear site license conditions., • Ability to speak French is advantageous., • Knowledge of pressure and nuclear codes, • Knowledge of Welding, Non Destructive Testing (NDT), Non-Destructive Evaluation (NDE) Qualifications & Experience • HNC/HND qualification or degree in a relevant science or engineering subject, or equivalent qualification., • Broad experience of implementing a variety of quality related solutions, • Proven track record of delivering results, • Proven leadership experience working in a quality assurance/control environment within the nuclear industry or other relevant safety critical industry., • Proven experience of interaction and resolving issues with a wide range of stakeholders in a multi cultural environment., • Experience performing supplier audits Desirable, • Hold a professional accreditation including IRCA certified auditor, • Corporate Member or working towards membership of the Chartered Quality Institute & Chartered Quality Professional, • Commercial exposure, especially supplier management, • Experience of interacting with regulators e.g. the ONR., • Knowledge of Improvement Methodologies, Tools & Techniques eg. Lean 6 Sigma

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

About The Company At Salutem Care and Education, we are dedicated to ensuring that the individuals we support receive exceptional, empowering care from a team of highly trained and compassionate staff, within environments that are both warm and nurturing. We pride ourselves on being innovative, solution-focused, and committed to achieving the best possible outcomes for every person in our care. About The Role As a Deputy Manager you will assist the Registered Manager in all aspects of the day-to-day running of the home, this includes ensuring that the needs of the service users are met, managing the staff team, monitoring the quality of care and support, ensuring high standards of professional practice, whilst achieving compliance with external regulatory standards. Reporting to the Registered Manager, the post holder will work to ensure that specialist and quality care and support for service users is maintained through assisting in the planning, implementation, supervision and evaluation of service user care and support. The Deputy Manager's will also be required to ensure that policies, procedures, systems and workplace practices are fully implemented and consistently applied. You will be passionate about motivating and empowering your team and encouraging their development. You will also be an inspiring role model, leading by example, imparting knowledge, championing best practice and promoting new thinking, enabling the team to help the people we support to make choices and decisions, live each day to the fullest and develop life skills along the way. Creating an environment where people feel safe, we work with each individual to build their confidence and skills, empowering them to lead a rich and fulfilling life as independently as possible. The successful candidate will need to show a high level of commitment and flexibility in the role and be able to work closely with the Registered Manager and staff team to ensure the very best outcomes are achieved for the individuals residing at Edward Street. In this role you will be expected to: Demonstrate written communication skills, sufficient to contribute to a record keeping system. Be able to demonstrate a warm, person centred and affirmative approach to the individuals we support. Be able to remain compassionate, and professional during challenging times. Be willing to work alongside clinical professionals Be open to new ideas and ways of working. Lead and delegate appropriately when on shifts. Complete regular staff supervisions. Be a positive role model in all aspects of our daily work life Assist an individual when in crisis to manage their behavioursOur Core Values: ➡️Supportive: Helping everyone reach their full potential. ➡️Ambitious: Striving for the best outcomes. ➡️Loyal: Prioritising our staff and the people we support. ➡️Unique: Innovating without compromising quality. ➡️Transparent: Fostering openness and mutual respect. ➡️Engaging: Partnering with everyone involved. ➡️Meaningful: Offering fulfilling opportunities. Why Choose Us? ✅Emotional Support: 24/7 Employee Assistance, mental health resources, meditation apps, and bereavement support. ✅ Medical Support: Free Online GP access, Health Cash Plan, Cancer Cover, and Menopause support. ✅ Financial Support: Flexible pay with Wagestream, utility bill savings, Money Helper, and Life Assurance. ✅ Physical Support: Online workouts, Cycle to Work scheme, gym discounts, and National Trust activities. Still not convinced? Recognised as a Top Employer United Kingdom 2026 by the Top Employers Institute. Named among the Top 100 Global Inspiring Workplaces by Inspiring Workplaces. ♿ Proud to be a Disability Confident Committed employer. Salutem Care and Education is dedicated to protecting and promoting the well-being of children, young adults, and vulnerable individuals. As part of our safer recruitment process, the successful candidate will be required to complete thorough pre-employment checks, including an enhanced DBS and, where applicable, overseas criminal record checks