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Our client is looking to recruit a Tech Team Leader to work within the Helpdesk function. This key recruit has overriding responsibility for the effective monitoring, evaluation and training of the 1st and 2nd line customer support team, assessing the customer journey, and implementing positive change. This is an excellent opportunity to join a superb customer centric business where you will be valued and given full support within your role. This is a fully office-based role for our client as you will interact daily with various teams and that office presence is vital for team support. This is a great company to work for with very strong values who invest in their staff and offer an excellent culture. Duties & Responsibilities: • You will evaluate the Customer journey, assess current processes and make recommendations for change, implementing new ideas., • Identifying customer pain points, working with 1st and 2nd line support teams to deal with specific challenges whilst also being a key point of contact for customers, to ensure a satisfactory conclusion., • Leading, supporting and mentoring your small team to ensure productivity is consistently high., • Ensuring exceptional customer service levels are achieved and reporting on these to the Senior Leadership Team., • Working collaboratively cross functionally across the business to review and identify coaching and training needs for the teams., • You will design QA based coaching and training materials to continually assess and improve customer experience and track outcomes on an ongoing basis., • Ensuring any feedback is acted on through coaching, • Involved with adhoc projects Skills & Experience required: • Experience within a similar Tech team leader role is essential, • You will have leadership or supervisory experience, able to analyse the performance of a team effectively and report on KPI's., • Able to analyse performance, assess KPI's and provide training and coaching to support this., • You will have excellent communication skills, able to build relationships both with customers and cross functionally across the business., • You will have strong decision-making skills, will be tenacious in your approach and proactive., • Excellent reporting skills to provide effective performance led reporting., • You will ultimately understand what excellent looks like within customer service and 1st line support and will thrive delivering on this to a wider team., • Excellent attention to detail and accuracy within all areas of your work. We are looking for Candidates who have the specific experience outlined above and without this, your application will not be considered. This role is available now and we are looking for interested candidates to apply immediately. Call us or send your CV for immediately consideration. If your CV meets the above criteria, we will be in contact. We are unable to reply to every individual application

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. 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. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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 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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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 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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), 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 — primarily in Python, with additional work in 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable 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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. 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 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 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 the Company: NOIC Academy is located in the city of Markham, Ontario, Canada. Being a full-time private boarding secondary school, NOIC Academy is co-inspected by the Ontario Ministry of Education, the IBO, Pearson Edexcel, and Cambridge International Education. It has been offering the Ontario Secondary School Diploma (OSSD) since 2004 and International Baccalaureate Diploma Programme (IBDP) since 2015. More recently, NOIC also becomes a Cambridge International School and Pearson International School. About the Role: We are currently seeking experienced and passionate educators to join our growing international academic team. We are hiring for the following AS/A-Level Chemistry subjects teachers: Responsibilities: • Deliver engaging and interactive A-Level classes in a synchronous online format., • Teach lessons, mark assessments, provide feedback to students in line with A-Level curriculum and examination standards., • Engage with students remotely, maintaining an interactive and supportive online learning environment., • Mark assignments, respond to student inquiries, and prepare report cards in alignment with the school’s student evaluation and reporting guidelines., • Fulfill all responsibilities associated with the teaching role beyond class time, including administrative tasks and student progress monitoring., • Provide academic support and timely feedback to students., • Maintain regular communication with program coordinators and academic staff. Qualifications: • Bachelor's degree or above in a relevant field., • A minimum of 1 year of A-Level (AS or A2) teaching experience is required. Required Skills: • Strong communication and instructional skills in an online teaching environment., • Familiarity with synchronous teaching platforms (e.g., Zoom, Classin, Teams, etc.). Preferred Skills: • Teaching certification is a plus but not mandatory.

About the Company: NOIC Academy is located in the city of Markham, Ontario, Canada. Being a full-time private boarding secondary school, NOIC Academy is co-inspected by the Ontario Ministry of Education, the IBO, Pearson Edexcel, and Cambridge International Education. It has been offering the Ontario Secondary School Diploma (OSSD) since 2004 and International Baccalaureate Diploma Programme (IBDP) since 2015. More recently, NOIC also becomes a Cambridge International School and Pearson International School. About the Role: We are currently seeking experienced and passionate educators to join our growing international academic team. We are hiring for the following A-Level subjects teachers: • AS/A-Level Chemistry, • AS/A-Level Economics, • AS/A-Level Physics Responsibilities: • Deliver engaging and interactive A-Level classes in a synchronous online format., • Teach lessons, mark assessments, provide feedback to students in line with A-Level curriculum and examination standards., • Engage with students remotely, maintaining an interactive and supportive online learning environment., • Mark assignments, respond to student inquiries, and prepare report cards in alignment with the school’s student evaluation and reporting guidelines., • Fulfill all responsibilities associated with the teaching role beyond class time, including administrative tasks and student progress monitoring., • Provide academic support and timely feedback to students., • Maintain regular communication with program coordinators and academic staff. Qualifications: • Bachelor's degree or above in a relevant field., • A minimum of 1 year of A-Level (AS or A2) teaching experience is required. Required Skills: • Strong communication and instructional skills in an online teaching environment., • Familiarity with synchronous teaching platforms (e.g., Zoom, Classin, Teams, etc.). Preferred Skills: • Teaching certification is a plus but not mandatory.

Job Overview\nWe are seeking a dedicated and compassionate Care Practitioner to join our team. In this role, you will be responsible for providing high-quality care to children in a care home setting, ensuring their physical and emotional needs are met. You will play a vital role in developing and implementing care plans, supervising junior staff and ensuring the well being of the children in care\n\nDuties\n\n· To undertake a lead role in ensuring the care and welfare of each child in placement.\n\n· To give guidance and support to all residential workers.\n\n· To be responsible for the supervision of designated members of staff.\n\n· To raise any concerns with the Registered Manager as appropriate.\n\n· Ensuring that each staff member is aware of each child’s care plan and their responsibilities for its implementation\n\n· Attending childcare reviews and planning meetings to provide information and achieve best outcomes for children\n\n· Undertaking one-one work with children\n\n· To act as an appropriate role model\n\n· Maintaining accurate written records in logs, continuation sheets and files both to record information and enable regular monitoring and evaluation to take place\n\n· Chair children’s meetings and facilitate consultation with children generally\n\n· Act as an appropriate adult at PACE interviews\n\n· To be aware of and respond to the children’s medical needs, including detail and optical and to ensure they are met appropriately.\n\n· To be interested, responsive and understanding to the children’s behaviours and feelings and work on the basis that the behaviour is a way children communicate their feelings which more than likely will often stem from their previous traumatic experiences.\n\nTo be inquisitive and reflective around behaviours and where this comes from and be sensitive and supportive to the children in helping them to manage these.\n\nSkills\n\n * Proven experience in senior care or within a care home setting is essential.\n\n * Strong supervisory experience with the ability to lead a team effectively.\n\n * Excellent communication skills, both verbal and written, to engage with residents and families compassionately.\n\n * Proficient IT skills for maintaining records and documentation accurately.\n\n * A valid driving licence is preferred for transportation purposes when necessary.\n\n * Ability to develop comprehensive care plans that cater to individual resident needs.\n\n * Leadership qualities that inspire confidence in both staff and residents alike. Join us in making a positive impact on the lives of our residents by providing exceptional care in a nurturing environment

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

TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Head of Product Delivery to join our growing team. The role of Head of Product Delivery entails the management of multi disciplinary technical teams who design, build, test, deploy and support TransUnion product within a specific domain. Led by delivery managers who create, maintain and manage deliveries to agreed plans. Day to Day You'll Be: Work closely with product management and product owners, to understand product roadmaps and requirements to deliver against functional commitments and non-functional needs. Work closely with product stakeholders, developing effective working relationships and continuous product development and release processes. Plan the product development priorities and put in place effective monitoring and controls to ensure the timely identification, evaluation and mitigation of risks, issues and dependencies. Manage product development within the software development and release lifecycle exploiting Agile development methods Ensure resource availab...

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

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

The Opportunity -> This is a performance-focused frontend engineering role with real architectural influence. ___ platform serves manufacturing clients globally, and the company is investing heavily in frontend performance as a strategic priority. The platform is undergoing a significant modernisation programme — the current Angular application requires upgrading to the latest version and modern architectural patterns, with potential future migration paths including React under evaluation. The priority is a high-performance, well-architected Angular frontend today, with the flexibility to evolve as the platform strategy matures. The engineering team is simultaneously modernising the backend (containerising .NET 8 for Kubernetes, migrating to PostgreSQL), and the AI team is building a copilot platform with multiple production agents. This role collaborates with both teams — particularly on API design and caching strategy — but the core focus is building high-performance frontend experiences, not maintaining legacy application code. There are greenfield modules being built from scratch (Digital Obeya dashboard, CIL, Centreline) where the frontend can be designed for performance from the ground up. This role carries significant architectural ownership — including knowing when to build custom components versus adapting and extending the base components available in the framework. Location: Fully remote, UK based. You'll interact with team members in the UK, Portugal, Spain, Brasil and US. Core Technical Requirements -> • TypeScript — non-negotiable. Deep proficiency required, including advanced type system features, generics, strict mode, and type-safe API contract patterns, • Angular (deep) — the production platform runs Angular 18. Must be proficient in Angular’s component model, dependency injection, RxJS, route resolvers, lazy loading, change detection strategies, and standalone components. Experience upgrading Angular applications to the latest architecture patterns (signals, control flow, deferrable views) is essential, • Component design judgement — must demonstrate strong instincts for when to build custom components versus adapting and extending base components from the framework or component library. Over-engineering bespoke components where framework defaults suffice wastes time; blindly using defaults where custom solutions are needed creates technical debt. The right candidate understands this trade-off deeply, • Modern CSS and component frameworks — Tailwind CSS (already in the stack) and shadcn/ui or similar headless component libraries. Must understand utility-first CSS, design token systems, and component composition patterns, • Performance obsession — this is the defining trait. Must have deep awareness of the patterns that drive up latency and costs:, • Bundle analysis and tree-shaking, • Code splitting and lazy loading (route-level and component-level), • Lighthouse proficiency (Core Web Vitals: LCP, FID/INP, CLS), • Main thread optimisation, • Network waterfall analysis and API call minimisation, • Browser caching strategies (service workers, HTTP cache headers, CDN configuration), • Virtual scrolling and rendering optimisation for data-heavy dashboards, • API collaboration — must work closely with backend teams to minimise API calls, design efficient data contracts, ensure caching is optimised at every layer (browser, CDN, API gateway, application), and eliminate N+1 query patterns, • Linux / CLI proficiency — must be comfortable with Linux environments, command-line tooling, and containerised development workflows AI-Assisted Development Methodology -> Solvace is transitioning towards AI-assisted development as a core engineering practice. For frontend engineers: • Hands-on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. Engineers who use these tools professionally to accelerate component development, write tests, and refactor code are strongly preferred, • Spec-driven development — ability to write clear component specifications and design documents that drive both human and AI-assisted implementation, with strong evaluation criteria and comprehensive test coverage, • Portfolio evidence — professional projects or side projects built with AI-assisted development tools are a must. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust frontend test suites (unit, integration, E2E, visual regression) and automated performance budgets that catch regressions before deployment Nice-to-Have -> • Go or Rust — valued as evidence of strong systems thinking and backend empathy, which translates directly into better API design collaboration, • d3.js / ECharts — the platform uses both for data visualisation; dashboard modules are data-heavy with complex charting requirements, • Playwright — E2E test specs exist for key modules. Experience integrating Playwright into deployment pipelines with automated smoke tests is a plus, • Datadog RUM — the platform uses Datadog Real User Monitoring. Experience interpreting RUM data (session replay, per-country latency) to drive optimisation priorities is valuable, • React ecosystem — experience with React, Next.js (SSR, RSC, app router), and Vite (build tooling, HMR, tree-shaking) is valued. Potential migration paths including React are under evaluation, and candidates with experience across both Angular and React are well-positioned to contribute to that decision, • Micro-frontend architecture — experience with micro-frontend patterns (module federation, single-spa, or similar) for incremental framework migration is a strong plus, • WebSocket / SignalR — the AI copilot uses SignalR for real-time transcription streaming; the frontend integrates with this, • Internationalisation — the platform uses Transloco for i18n across 32 languages, • Accessibility (a11y) — WCAG compliance experience is valued Your Mission (First 6 Months) -> • Drive the frontend performance programme — lead a systematic effort to optimise page load times, reduce bundle sizes, implement lazy loading, and eliminate unnecessary API calls triggered by navigation. Establish performance budgets and integrate Lighthouse scoring into the CI/CD pipeline, • Optimise JavaScript delivery — audit dependencies, implement tree-shaking, introduce dynamic imports for heavy libraries (charting, Gantt, Excel generation), and establish bundle size budgets with CI enforcement, • Build greenfield modules for performance — new modules (Digital Obeya dashboard, CIL, Centreline) are being built from scratch. Design these for performance from the ground up: virtual scrolling for widget grids, incremental data loading, WebSocket-driven updates, and aggressive client-side caching, • Implement end-to-end caching strategy — work with backend teams to implement HTTP cache headers on stable API responses, CDN-level API caching for read-heavy endpoints, client-side query caching (TanStack Query patterns), and stale-while-revalidate strategies for dashboard data, • Establish frontend performance infrastructure — instrument the frontend with comprehensive APM (Datadog RUM), establish performance budgets in CI (Lighthouse scores, bundle size limits, Core Web Vitals thresholds), and build dashboards for real-time visibility into frontend performance, • Modernise the Angular architecture — upgrade the existing Angular codebase to the latest patterns (standalone components, signals, control flow, deferrable views). Evaluate and document potential future migration paths — including React — with trade-off analysis, effort estimates, and recommendations. The goal is a modern, performant Angular foundation today with a clear-eyed view of where the frontend architecture should evolve Research vs. Applied Entirely applied / production-focused. This is a hands-on frontend engineering role. The person needs to be comfortable profiling production performance, reading APM traces, and shipping measurable improvements. They’re measured on load time reductions and user experience metrics, not architectural elegance. Why Join? • Measurable, high-impact performance work — clear performance targets with comprehensive monitoring (Datadog RUM, Lighthouse). Every improvement is directly measurable and visible to the business, • Architecture influence — this person will modernise the Angular architecture and evaluate future migration paths including React, shaping the long-term frontend strategy for the platform, • Greenfield modules — new modules are being built from scratch. The frontend engineer gets to design these for performance from day one, • AI copilot frontend — the KAI copilot uses SignalR for real-time transcription and streaming agent responses. Building the frontend for an AI copilot in manufacturing is genuinely novel, • Manufacturing domain — dashboards, shop floor kiosks, and mobile-first inspection flows are unlike typical SaaS frontend work. Rich data visualisation challenges with real operational stakes, • High visibility — frontend performance is a strategic priority. Improvements are noticed at the highest level of the organisation

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 engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust are non-negotiable. We're hiring a Senior Software Engineer to work on AI and agentic platform capabilities that power intelligent, automated workflows for financial services. This is a high-impact role building foundational technology that underpins Aveni's AI-first strategy. Your work will focus on: You'll work on systems that govern how AI agents behave in regulated financial contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working on problems that matter: making AI safe, auditable, and trustworthy in high-stakes financial environments. What You’ll Be Doing Build Production-Grade Systems • Design and implement scalable Python services powering AI-driven workflows, • Develop resilient, observable systems with strong error handling and compliance traceability, • Work within a serverless, event-driven AWS architecture Own Delivery End-to-End • Take ownership of features from design through to production, • Collaborate with Product, AI Platform, and Compliance teams, • Contribute to sprint planning, estimation, and delivery Shape AI & Agentic Systems • Build intelligent workflows using LLMs and agentic architectures, • Integrate AI models into production systems, • Design guardrails, policy enforcement, and behavioural monitoring for AI agents Mentor & Elevate the Team • Support and guide junior and mid-level engineers, • Lead code reviews and promote engineering best practices, • Contribute to documentation, demos, and knowledge sharing Drive AI-Augmented Engineering • Use AI coding tools to accelerate development and improve quality, • Help define best practices for AI-assisted software engineering What We’re Looking For Must Have • Strong Python expertise in production environments, • Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge), • Experience working with LLMs or AI/ML systems, • Strong understanding of APIs, async systems, and scalable architecture Nice to Have • Experience with AI safety, guardrails, or policy enforcement, • Background in agentic systems or autonomous workflows, • Experience in financial services or regulated environments, • Familiarity with Node.js / TypeScript, Terraform or CDK, • Knowledge of observability tools and ML fundamentals You’ll Thrive If You Are • Pragmatic and able to balance speed with long-term quality, • Curious about AI, especially safety and responsible usage, • Comfortable working in a fast-moving scale-up environment, • A strong communicator who can explain complex ideas clearly, • Passionate about mentoring and raising team standards Career Growth This role offers a clear path into Staff or Lead Engineer positions, where you’ll: • Drive architectural decisions across multiple teams, • Own complex, cross-cutting AI systems, • Shape Aveni’s long-term AI platform strategy 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

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

This key recruit has overriding responsibility for the effective monitoring, evaluation and training of the 1st and 2nd line customer support team, assessing the customer journey, and implementing positive change. This is an excellent opportunity to join a superb customer centric business where you

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

Lead AI Architect | Permanent | UK-Based | Public Sector 🔒 Security Clearance Notice: This role requires candidates to hold or be eligible to obtain UK Security Clearance (SC). Due to the nature of the projects, you will need to be British. These projects are UK eyes only. Are you building AI that actually matters? This isn't another POC role. We're looking for a Lead AI Architect to design and deliver production-grade AI systems for some of the UK's most high-profile public sector programmes — where the stakes are real, and the impact is measurable. What you'll do • Architect end-to-end AI systems (GenAI and traditional ML) built for production, not the lab, • Own the full technical lifecycle: model selection, deployment, MLOps, evaluation, and monitoring, • Deploy across cloud platforms (AWS Bedrock, Azure AI Foundry, GCP) and self-hosted GPU infrastructure, • Implement observability, security guardrails, and responsible AI frameworks from day one, • Lead cross-functional engineering teams and translate client needs into clear technical roadmaps, • Communicate with both engineers and senior stakeholders — and know when AI isn't the right answer What we're looking for • Proven track record delivering production AI/ML and GenAI at enterprise scale — real impact, not just prototypes, • Expert Python with hands-on experience in PyTorch, TensorFlow, LangChain, LangGraph, RAG pipelines, and LLMs, • Solid MLOps/LLMOps fundamentals: CI/CD for ML, model governance, and evaluation frameworks, • Broad cloud experience across AWS, Azure, and GCP — cloud-agnostic candidates preferred, • Background in a complex, regulated domain (public sector, defence, healthcare, or finance all relevant), • Strong leadership and stakeholder management skills No minimum education requirement — we care about what you've shipped, not what's on your CV. Demonstrate your expertise through experience, open source contributions, or a strong project portfolio. Sound like you? Apply below or get in touch directly.

Murphy is recruiting for a Subcontract Buyer to work with Transportation on the TRUe project at Shipley and Leeds. With a proud history dating back to the 1960s, we provide practical, innovative results, working around the individual needs of our customers. Rail renewals to enhancements, bridge building, highways, ports and emergency earthworks – our award-winning team has extensive experience and has been involved in projects that have changed the face of transport networks in three countries. We dedicate ourselves to being ‘better engineered’ to ensure our transportation infrastructure solutions meet and exceed customer requirements, delivering value for money through innovation. This is a fantastic opportunity for a focused experienced subcontract and service procurement specialist.. You will be working as part of a dedicated procurement team for the regional operating unit ( TRUe) to develop the regional supply chain to suit the demand. You will be responsible for helping to deliver an effective and professional service in the procurement of subcontracts, materials and services. You will be reponsible for Assistant Buyers, Graduates and apprentices. This is a fantastic opportunity for a focused experienced subcontract and service procurement specialist.. You will be working as part of a dedicated procurement team for the regional operating unit ( TRUe) to develop the regional supply chain to suit the demand. You will be responsible for helping to deliver an effective and professional service in the procurement of subcontracts, materials and services. You will be reponsible for Assistant Buyers, Graduates and apprentices. A day in the life of a Murphy Subcontract Buyer Ensure contract arrangements and package details are comprehensive and protect the business in its dealings with suppliers and sub-contractors. Monitor the supply chain performance, workload and financial status to protect the corporate position. Ensure supplier evaluation forms and risk assessments are maintained Work package procurement Deliver a consistent procurement approach across all projects within the region from work winning / pre-construction stage. Demonstrate best overall value for money in the procurement recommendations and negotiation process is applied in engagement Ensure decisions are not focussed upon lowest price but overall best value for money Input to the monitoring of the market place to ensure awareness of pricing trends, risks and opportunities. Continuously seek out and assess new supply chain members to meet regional project demand. Support the development of the supply chain, products and innovations that bring cost and/or buildability benefits. Develop and forge closer relationships with the strategic supply chain to encourage a culture of inclusive interaction and learning and an atmosphere of mutual respect and understanding. Establish good relationships with internal clients and project teams Attend regional supply chain events as required to promote and sell Murphy and encourage teamwork Still interested, does this sound like you? Demonstrable experience of Subcontract buying Ideally knowledge and understanding of work practices, processes and procedures within the construction process from pre-construction stage and into construction stage. Good understanding of strategic procurement practices Knowledge of sustainability within procurement practices Product and supplier knowledge relevant to the regional operating unit. Good working knowledge of contracts Understanding of Safety within procurement practices

As Quality Manager, you will ensure ongoing compliance to ISO 9001, ISO 14001 and AS9120 (or equivalent) while acting as the senior interface for OEM audits, approvals and escalations. High impact Quality Manager opportunity with real ownership and visibility at custom. We are recruiting a senior Qu

If you’re a current 400kV (or above) SAP who thrives on high standards, precise switching, and keeping teams safe, this is a long-term contract where your expertise genuinely matters. Conduct and review Point of Work Risk Assessments, and contribute to RAMS quality. If you’re a 400kV SAP ready t

Working closely with psychiatrists, nurses, psychologists, and wider healthcare professionals, you will provide expert clinical pharmacy input and contribute to high-quality patient-centred care. We are looking for a passionate and clinically driven Mental Health Pharmacist to join our multidiscipli

The role includes diagnosing and resolving technical issues, conducting compliance checks, and ensuring equipment meets the highest safety standards. You will work closely with clients and team members to deliver exceptional service and technical expertise while adhering to health and safety guideli

They’re now hiring a Forward Deployed Engineer to work at the cutting edge of large-scale optimisation and algorithm design, directly impacting how thousands of physical retail spaces are planned. Partner directly with enterprise clients to understand complex planning needs and constraints. Comfor

Outstanding senior opportunity to join a Global agency with expertise that span medical strategy, scientific content development, and medical education across therapeutic areas and the product lifecycle. By blending scientific rigor, agile operational models, and future-ready technologies, they part

This is a high-impact role within a busy engineering environment, offering exposure across equipment, utilities, facilities, and laboratory systems, with a need for hands-on execution specialists. Leading or supporting execution of validation activities across manufacturing, lab, and utility systems

We are the only platform on G2 named a Global Momentum Leader across HR, Payroll and IT, and we are just getting started. Strong problem-solving ability and attention to code quality and architectural integrity. Direct ownership and impact, with your work visible and influential from day one.

Strong pipeline of work, long-term projects, and a business that actually invests in its HV teams.

Collaborate with developers and business analysts to understand requirements and identify test scenarios. Design, execute, and automate test cases for functionality, performance, and security validation. Track and report defects and support issue resolution.

The site is quite simple and well organised and already up and running. A Site Supervisor will be present and looking after 4 x gangs to include: Steel Fixers, Civils, Drainage and Shuttering.

They provide expert advice and knowledge in relation to clean room environments, biocontainment and laboratory set-up, providing a high level of service in order to support their clients achieve their goals with relation to establishing new laboratories and expanding existing ones. Provide detailed

Join a consultancy with 10+ years in the market that has built a strong reputation within AI, Machine Learning and Tech4Good. You’ll be joining a high-calibre engineering team delivering software that genuinely makes an impact, particularly across Healthcare and other meaningful sectors. Leading i

Attend site meetings and liaise with clients, consultants, and internal teams. Monitor costs and assist with variations and commercial control. The client is open to developing and moulding the right person, provided they have a solid mechanical background and the right attitude.

Use and guide others on tools such as OpenCode, Claude Code and OpenAI Codex. You will need to be pragmatic, hands-on and comfortable with ownership. Good understanding of Git, feature branching, pull requests and code reviews.

This is an exciting opportunity to deliver high-quality critical care to a diverse patient population within a technologically advanced and fast-paced clinical environment, while maintaining the highest standards of patient safety and clinical excellence. To provide high-quality, patient-centered me

The work is hands-on, varied and technical - involving the setup, operation and maintenance of complex test rigs, mechanical systems and specialist measurement equipment used in high-performance testing environments. You’ll be part of a team preparing and operating large-scale test facilities, ass

Proficient in using power tools and hand tools for electrical work. Install, maintain, and repair valves, probes, sensors and other such instruments in industrial environments. Collaborate with other team members to complete projects efficiently and according to HSE standards.

You will be working with clients to understand their planogram constraints, improve generation algorithm and identify prototype opportunities with AI. Strong fundamentals in algorithms and mathematical programming. Programming experience in Rust and Javascript.

You’ll be responsible for servicing, maintaining, and fault-finding on a range of fire and security systems while building strong relationships with customers. Service and maintain fire alarms, CCTV, intruder alarms, and access control systems. Good understanding of industry standards.

Operate and control boilers, turbines, generators, and associated balance‑of‑plant systems via DCS and local control panels. Identify, report, and escalate operational issues, deviations, and risks to the Commissioning Manager and wider project team. This role combines control room operations wi

If you are an experienced professional who takes pride in delivering high standards and want to be part of a respected operation, this could be your next move. Attention to safety and compliance. This is an excellent opportunity for a skilled Master Technician seeking stability, strong earning poten

Strong experience in data engineering and cloud data platforms. Experience integrating APIs and SaaS platforms. Our client is growing their data capability and looking for a Senior Data Engineer to help drive the next phase of their data strategy.

Support compliance and auditing by implementing guardrails and controls as code (e. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. Design, build, and manage scalable, secure, and resi

Our values are centred on kindness and empathy - we genuinely look after our team and we really do care about our veterinary clients and the animals that they look after. Develop and maintain highly robust and scalable codebases, contributing across both front-end and back-end systems to ensure comp

Work flexibly around your NHS role, choose when and where you work, and benefit from excellent administrative support. Casework is primarily personal injury and RTA related, focusing on:. Chronic pain assessment and prognosis.