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An opportunity has arisen within Neighbourhoods, Regeneration and Sustainability for a Technician to join our Lighting team on a permanent basis. NRS brings together a diverse range of Glasgow City Council operational, technical and development services that focus on sustainable transport, place making and delivering essential city services. If you’re interested in working within a service that touches on all aspects within the city, please read on. Position Details You will be an operational team member responsible for the development; installation; maintenance and monitoring of the City’s Street Lighting Network to meet service targets and enforce compliance with electrical regulations & technical standards. The post will also require the flexibility to assist Lighting projects and other Service streams to transform Glasgow City Council’s Street lighting estate, investing in LED technology/infrastructure to develop a safe, reliable energy efficient lighting network. A current driving licence and the following qualification is an essential requirement for this role: • Degree/HND/HNC in Electrical/Electronic Engineering or equivalent; or You should also have a sound working knowledge of current Wiring Regulations, Technical Standards and Codes of Practice to electrical distribution and be able to support budgetary control and monitor performance against targets. Further details regarding what this role entails are noted within the Role Profile for the post, whilst the Person Specification document confirms the key competencies you are required to demonstrate in your application. An opportunity has arisen within Neighbourhoods, Regeneration and Sustainability for a Technician to join our Lighting team on a permanent basis. NRS brings together a diverse range of Glasgow City Council operational, technical and development services that focus on sustainable transport, place making and delivering essential city services. If you’re interested in working within a service that touches on all aspects within the city, please read on. Position Details You will be an operational team member responsible for the development; installation; maintenance and monitoring of the City’s Street Lighting Network to meet service targets and enforce compliance with electrical regulations & technical standards. The post will also require the flexibility to assist Lighting projects and other Service streams to transform Glasgow City Council’s Street lighting estate, investing in LED technology/infrastructure to develop a safe, reliable energy efficient lighting network. A current driving licence and the following qualification is an essential requirement for this role: • Degree/HND/HNC in Electrical/Electronic Engineering or equivalent; or Additionally, you must have a BS7671:2018 IET Wiring Regulations 18th Edition and a valid Electrotechnical Certification Scheme (ECS) Card supported with Health and Safety Assessment Certificate, or the ability to achieve these within 1 year of appointment. You should also have a sound working knowledge of current Wiring Regulations, Technical Standards and Codes of Practice to electrical distribution and be able to support budgetary control and monitor performance against targets. Further details regarding what this role entails are noted within the Role Profile for the post, whilst the Person Specification document confirms the key competencies you are required to demonstrate in your application. Contract Details Weekly Hours: 35 per week Work Pattern: Monday - Friday Annual Salary: £36,319.27 - £42,291.40 on an incremental scale Benefits of working with us Glasgow City Council employees have access to a wide-ranging and generous benefits package. If you’re successful in your job application, you’ll have access to these benefits which include: • 26 days (182 hours) paid annual leave, rising to 29 days (203) hours after 5 years’ service, • 5 days (87.5 hours) paid public holidays each year, • Local government pension scheme, • Life and Personal Accident Insurance, • Occupational Sickness Pay, • Staff Benefit Scheme Details on our policies are available ___. We want everyone to be able to apply. If you need the Application Pack in another format, like Braille, large print, or another language, please call us on 0141 287 1054. If we need to post it to you, we’ll send it by second-class mail within three working days. Please allow enough time to complete and return your application before the closing date. If you think you might need more time because of accessibility needs, please get in touch and we’ll be happy to help. There are also a number of Accessibility Tools compatible with the myjobscotland website which may assist you with your application. More information on these can be found at . Please note that Glasgow City Council is currently completing a Job Evaluation exercise and introducing a new pay and grading structure which may impact on current salaries quoted in job adverts, see For further information about working for us please refer to our website ___

Compensation £40,000 – £70,000 base salary + performance-related bonus + benefits Performance-Related Bonus Great benefits (listed below) TL;DR • Role: AI Engineer (Agentic AI & LLM), • Level: Engineer or Senior, • Location: UK-based, fast-growing technology startup specialising in the energy sector, • Cloud Experience: Must have AWS or Azure (certifications desirable), • Management: No direct line management required, • Consultancy/Energy Experience: Highly beneficial, non-essential, • Visa Sponsorship: Not currently available; right to work and UK residency required, • Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered, • Diversity & Inclusion: Extremely important—encouraging a broad mix of people from all backgrounds Who We Are Hypercube Consulting is a rapidly growing data and AI startup dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions. Role Purpose We are seeking an AI Engineer with hands-on experience in Agentic AI systems and Large Language Models to help design, develop, and deploy advanced AI solutions for our clients. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities. As a senior hire in a growing organisation, your impact will be meaningful from day one. You will: • Engage clients to understand their challenges and help design Agentic AI and LLM-driven solutions., • Build and implement robust AI systems, including ML/LLM pipelines and agentic workflows., • Contribute to best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure., • Share knowledge and support team development as we grow our AI engineering capability. Key Responsibilities Technical Delivery: • Act as a hands-on AI and LLM practitioner across client engagements and internal projects., • Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations)., • Work with cross-functional teams (data engineers, data scientists, DevOps, stakeholders) to deliver client-focused AI solutions., • Apply and help refine best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD)., • Support business development through demos, proof-of-concept work, and technical pre-sales activities., • Build strong client relationships and contribute to growing team capability over time. Technical Skills & Experience Please apply even if you meet only some criteria—we value potential alongside experience. Core Skills • Agentic AI & LLMs: Hands-on experience building and deploying large language models and agent-based AI workflows., • Cloud AI (AWS/Azure): Experience delivering AI or ML solutions in production cloud environments., • Python: Strong capability in developing production-quality AI/ML code., • LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms., • Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools., • SQL: Solid capabilities in data querying and preparation., • Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills • Infrastructure as Code: Terraform or similar., • Containers & Kubernetes: Docker, EKS/AKS., • Streaming: Kafka, Kinesis, Event Hubs., • AWS or Azure certifications. Desirable Experience • Consulting or Energy sector experience., • Public profile (blogs, conferences, open source)., • Stakeholder engagement and requirements translation., • Integration with external or hybrid cloud systems., • Clear communication across diverse technical audiences. What's in It for You? • High Impact: Work on energy-sector AI solutions that directly influence client outcomes., • Career Growth: Senior mentorship, dedicated training budgets, and a clear pathway to Principal., • Flexible Environment: Open to various flexible working arrangements to suit your lifestyle., • Start-up Culture: Contribute to shaping our culture, processes, and technologies., • Personal Branding: Encouraged and supported in building your public professional profile. Benefits • Performance-Related Bonus, • Enhanced Pension, • Enhanced Maternity/Paternity, • Private Health Insurance, • Health Cash Plan, • Peer Cash Award Scheme, • Cycle-to-Work Scheme, • Flexible Remote/Hybrid Working, • Events & Community Participation, • EV Leasing Scheme, • Training & Events Budget, • Mentorship Programmes Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly—even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. Visa sponsorship is currently not available.

Quantity Surveyor based in Glasgow with a Tier 1 contractor My client is a Tier 1 contractor, looking for a Quantity Surveyor to join their Glasgow commercial team on several exciting projects with an order book for the next 10 years. Commercial Duties: • Preparation of cost estimates, bills of quantities and tender documents., • Negotiating with suppliers and subcontractors to obtain the best prices and terms., • Managing project budgets, including forecasting and monitoring costs., • Maintaining accurate records and documentation of all project-related costs and financial transactions., • Provide expert advice on procurement, risk management and cost-saving measures., • Understanding the client requirements and quantities take off as per marking and drawings., • Preparing BOQ (bill of quantities) by studying specification sheets from the design/operations team., • Identifying gaps between BOQ and drawings, specifications and conditions of the contract and taking it for a logical closure., • Monitor and control costs throughout the project, identifying cost-saving opportunities., • Participation in the pre-delivery activities with client, architect and project managers and raising relevant pre-delivery queries from the given party., • Preparing quotations for specific works as required by the client., • Manage the valuation of work done and handle applications for payment and variations., • Preparing interim and final valuations, variations and claims of the project., • Conduct feasibility studies and value engineering exercises., • Collaborate with stakeholders to optimise project outcomes and achieve value for money., • Onboarding of new supply chain partners within contract, • Preparation and execution of supplier enquiries through to evaluation and letting of packages., • Assist in the maintenance of robust cost, value reconciliations for provision of P&L and cash flows;, • Assistance in monthly reviews of information supplied to the Authority;, • Assistance in production of forecasting and actuals; and, • Bachelor’s degree in quantity surveying, construction management or a related field., • 5+ years of experience in quantity surveying or cost consulting, preferably in the construction industry., • Sound knowledge of construction industry practices, regulations and standards., • Proficiency in cost estimation and cost management techniques., • Familiarity with contract administration and legal aspects of construction projects., • Experience working with AutoCAD and validating quantities from the given drawings., • Ability to manage multiple projects simultaneously and prioritise tasks effectively., • Strong analytical and problem-solving skills with extraordinary negotiation abilities., • Proficiency in relevant software and tools for quantity surveying., • Excellent analytical skills with the ability to interpret raw data and translate it into clear, concise information, • Strong communication and presentation skills, • Professional membership or certification in quantity surveying or construction management., • Knowledge of health and safety regulations and environmental standards., • Experience with building information modelling (BIM) and quantity takeoff software., • Familiarity with contract law and construction contracts., • Attention to detail and a commitment to delivering high-quality work., • Strong project management skills and ability to work under pressure., • German language, • Commercial minded with ability to see the bigger picture, • Experience in managing auditors, tax advisors and other external advisors, • Ability to apply knowledge and creativity to resolve complex issues, • Knowledge of CONFIRM software

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.

Position: Lead Practitioner of Attainment Annual Salary: £37,590.25 - £43,771.71 per annum About the Role: In this role you will be part of the management team within the nursery to support with the effective delivery of high-quality early learning and development. You will role model and promote practice throughout the establishment which is balanced and based on the curriculum principles. Key Responsibilities: • Supporting the effective delivery and development of the curriculum to raise attainment., • Supporting the delivery of collegiate practice and teamwork across the establishment., • Integrating family learning within the curriculum across both the establishment and home environment., • Developing, implementing, monitoring and evaluating plans and programmes to ensure the learning and care needs of all service users are being met., • Evidence of relevant experience within an ELC setting(s) and proven capacity to work effectively as part of a team., • Highly motivated with leadership and influencing qualities to support delivery of a high quality ELC service., • Broad knowledge and understanding of children’s learning and development at early level., • Expertise in delivering the ELC curriculum appropriately and effectively including the ability to track learning., • Relevant qualification, • What We Offer:, • Annual Salary of £37,590.25 - £43,771.71 per annum per annum, • 35 hours per week to be worked flexibly on a rota basis between 8.00am and 6.00pm., • 26 days paid annual leave, rising to 29 days after 5 years’ service, • Plus 12.5 days paid public holidays each year, • Local Government Pension scheme including Life insurance, • Salary sacrifice cycle to work scheme, • A collaborative and supportive work environment., • Opportunities for professional growth and development., • A chance to make a real impact in the lives of children living in Glasgow. Membership of the Protection of Vulnerable Groups Scheme will be essential on taking up appointment. Please note successful candidates for the above position will be required to pay for their PVG Membership/or Scheme Checks. These posts are excepted under Rehabilitation of Offenders Act 1974 (Exclusions and Exceptions) (Scotland) Order 2013 (as amended). If you would like a confidential conversation about the roles on offer, please contact the Head of Nursery. We want everyone to be able to apply. If you need the Application Pack in another format, like Braille, large print, or another language, please call us on 0141 287 1054. If we need to post it to you, we’ll send it by second-class mail within three working days. Please allow enough time to complete and return your application before the closing date. If you think you might need more time because of accessibility needs, please get in touch and we’ll be happy to help. There are also a number of Accessibility Tools compatible with the myjobscotland website which may assist you with your application. More information on these can be found at . Please note that Glasgow City Council is currently completing a Job Evaluation exercise and introducing a new pay and grading structure which may impact on current salaries quoted in job adverts, see For further information about working for us please refer to our website ___

Job Description An opportunity has arisen within Neighbourhoods, Regeneration and Sustainability for a Supervisor to join our Nightshift Services team on a permanent basis. \n NRS brings together a diverse range of Glasgow City Council operational, technical and development services that focus on sustainable transport, place making and delivering essential city services. \n If you’re interested in working within a service that touches on all aspects within the city, please read on. \n Position Details \n You will supervise the delivery of Nightshift Services with all aspects of Street Cleansing. \n Duties will include monitoring/directing resources to ensure the effective delivery of front-line services, preparing/monitoring works programmes in relation to routine, cyclical and planned works and to ensure compliance with health & safety legislation. \n You must have substantial experience in an operational environment including previous supervisory experience, basic IT skills, good communication skills, along with influencing and decision-making skills. \n A current driving licence, a standard literacy and numeracy qualification, plus a current first aid certificate or a willingness to work towards this are essential requirements of the post. \n An SVQ level 3 or equivalent qualification in an area appropriate to the post, C1 licence and CPC, C2 licence and CPC (front loading shovel), Health & Safety training, First Line Management and Risk Assessment training are desirable. \n Further details regarding what this role entails are noted within the Role Profile for the post, whilst the Person Specification document confirms the key competencies you are required to demonstrate in your application. \n Contract Details \n Weekly Hours: an average of 37 per week \n Work Pattern: 4 on, 4 off permanent nightshift rota \n Annual Salary: £37,590.25 - £43,771. 71 on an incremental scale \n Additional Payments: In addition to the annual salary the role attracts a non-standard work pattern/hours (NSWPH) payment of £11,313 and a working context & demand (WCD) payment of £769. \n Benefits of working with us \n Glasgow City Council employees have access to a wide-ranging and generous benefits package. If you’re successful in your job application, you’ll have access to these benefits which include: \n\n • 182 hours paid annual leave, rising to 203 hours after 5 years’ service (pro rata to shift pattern and start point in year)\n, • 5 hours paid public holidays each year (pro rata to shift pattern and start point in year)\n, • Local government pension scheme\n, • Life and Personal Accident Insurance\n, • Occupational Sickness Pay\n, • Staff Benefit Scheme\n \n Working for Us\Job Evaluation \n \n \n \n For further information about working for us please refer to our website GCC HR Policies \n \n \n

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 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. 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.

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

👋 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

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

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

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.

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

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 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 — 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 • 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.

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

As an Advanced Specialist Physiotherapist you will work as part of a multidisciplinary team contributing to the strategic development of the service, working closely with stakeholders, ensuring that policy and practice reflect the best practice and support the delivery, evaluation and monitoring of

We are excited to offer a fantastic opportunity for a Graduate Environmentalist with our HSEQ-HW Account in Glasgow. Starting Salary: 30,000.00 Location: G5 0HD, Polmadie Rd, Glasgow. Working hours per week: Monday-Friday 09:00am-17:00pm. 37.5hrs/week Start date: September 2026 Our 2-year Graduate programme at Amey will challenge and inspire you to reach your full potential and build your career with a guaranteed permanent position for you to transition into once you have finished. Throughout your Graduate programme, you will receive first-class mentoring and a structured learning and development programme to enable your professional and personal development. We'll also support and pay towards a relevant professional qualification. The Graduate Environmentalist will be fully involved at the operational level, making an impact in environment and sustainability, helping to drive change to ensure we meet the Amey Group and Client environment and sustainability goals, making our highways activities future proof. You will play a key role in transforming the carbon and climate change ambitions of key clients into real actions, whilst we help you to develop essential skills for building future-proof organisations in line with the ISEP Sustainability Skills Map What you will do: Embodying a collaborative approach, working with environment, carbon and sustainability professionals across Amey and others (including Clients, our key partners and Supply Chain members) to deliver: Zero Carbon Solutions, Nature Based Solutions and Compliant, Resilient & Industry Best Practice Solutions across our value chain, helping reduce the environmental impact of our construction, operation and maintenance activities Providing environmental advice and support to operational team members, helping to transfer knowledge and improve individual understanding Working with other Health, Safety, Environment and Quality professionals to provide assurance to operate within the Highways domain: Reviewing and briefing changes in law and standards Ensuring environmental and social issues are identified and factored into the decision-making processes, developing, reviewing and revising appropriate policies and procedures. Working with operational team members to identify environmental risks and opportunities, improving understanding of how our activities interact with the environment and determine effective operational control measures to mitigate significant impacts, including in the event of an emergency, as well as in a changing climate. Supporting development of effective environmental and carbon management plans Undertaking environmental permission applications (authorised waste, consents to discharge/abstract) Undertaking environmental assessments and implementing mitigation into working practices Determining competence and awareness requirements, providing briefings and training as necessary Monitoring compliance, undertaking inspections and audits Undertaking environmental performance monitoring, analysis and evaluation, writing reports and making recommendations to our business leaders to drive continual improvement. Undertaking investigations into events with the potential for or that have caused pollution or damage to environmental assets. Maintaining ISO 14001 certification of our integrated management systems. What you will bring: Graduate of a University Environmental Programme e.g. bachelor's degree or master's in relevant field such as Ecology, Environment or Sustainability, Student ISEP Membership (not essential). Full UK driving license Reasonably good oral communicator who can present arguments and ideas. Can produce reports to a good standard. Problem solving skills Passion for developing your skills both professional and personally, Have the enthusiasm to be part of a high performing team and a drive for success Drive & determination. Team player in both own team and across virtual teams. Ability to work to deadlines and on own initiative. Holds self-accountable to meet commitments. For example, accepts responsibility for own work, both successes and failures. Handles fair share and does not make excuses for problems. Usually meets commitments to others. Adapts approach and demeanour in real time to match the shifting demands of different situations. For example, takes steps to adapt to changing needs, conditions, priorities, or opportunities. Understands the cues that suggest a change in approach is needed; adopts new behaviours accordingly. Must demonstrate a commitment to the process of professional training, a willingness to accept training and development opportunities when they arise and a desire to achieve completion within the agreed timescale. Applicants must be at least 18 years of age to be eligible for consideration, due to the nature of the work associated with this account. Please note that successful applicants will be required to undergo drug and alcohol testing in line with our commitment to maintaining a safe and compliant working environment Please ensure you upload your certificates, predicted grades, or achieved qualifications with your application, as we will shortlist based on this information. Any offer of employment is conditional upon meeting the required academic criteria. If you experience any issues uploading documents, please contact our People Services team. We welcome applications from a diverse range of candidates. Why join Amey? At Amey, we work on long-term stable contracts so you can plan a long-term career with us. We have been awarded Platinum status by Investors in People which underscores our commitment to supporting our people across every part of our organisation, enabling them to shine. Whether you are starting your career, returning to the workplace or can bring your professional expertise and skills, there is a place for you here. Our benefits are designed to help you thrive at work and in your home life. You will have the flexibility to choose benefits and development opportunities that are best for you. Remuneration - Enjoy a competitive annual salary with the potential for yearly reviews to ensure you're rewarded for your contributions Career Growth: Throughout your programme, you will receive first-class mentoring and a structured learning and development programme to enable your professional and personal development. Training Opportunities: Unlock your potential with comprehensive training, including fully funded leadership programs tailored to your personal growth. Holidays - Enjoy 24 days leave plus bank holidays and the opportunity to buy more Pension - Generous pension scheme, with extra contributions from Amey Flexible benefits - Customise your benefits with options such as insurance benefits, Cycle2Work scheme and access to discounted gym membership. Exclusive Discounts - Access our online portal filled with discounts from leading retailers, healthcare services, and more, helping you save on the things that matter. Give Back to community - Two Social Impact Days each year, for volunteering and fundraising opportunities Family friendly policies for new parents or if you provide care for a dependant Membership of our Affinity Networks who connect, support and inspire diverse communities within Amey About Amey We are a leading provider of full life-cycle engineering, operations, and decarbonisation solutions, for transport infrastructure and complex facilities. Our purpose is to deliver sustainable infrastructure solutions that enhance life and protect our shared future. Every day our teams across the UK and internationally do truly important work shaping some of the most complex environments that impact generations to come. To find out more visit our website (url removed) Guidance and Diversity & Inclusion At Amey we constantly evolve how we work to reflect the different needs and backgrounds of our employees. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation, or age. We believe everyone deserves an opportunity to shine. As a disability confident leader, we're proud to guarantee applicants with a disability an interview if they meet the minimum requirements for the role. Please contact our recruitment team at peopleservices@(url removed) to discuss any access needs, reasonable adjustments or additional support that you may require at any point during the recruitment process. Apply today Inspiring Impact Together #CVL

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