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Are you: • Transitioning out of the Armed Forces? What is the Systems Engineering LEAP programme?: The Systems Engineering LEAP Programme is designed for great people who have transferable skills, delivering opportunities to start a career in Systems Engineering with a leading UK Defence company. These roles can be based from Edinburgh, Newcastle, and Luton. • 18-month year fully paid Systems Engineering development programme., • Giving you a great career in Systems Engineering., • Structured applied training and development journey., • Employment with a leading Defence company working on the latest programmes., • Mentoring and peer to peer community support throughout. We are searching for the next generation of Systems Engineers who come from a variety of backgrounds and skillsets. Based on your skills and foundation knowledge, we will provide suitable training and skills enhancement to transform you into a Systems Engineer. Typical work you might be involved in includes conducting early-stage research, engaging with stakeholders, transforming stakeholder needs into specifications, creating system architectures/designs, analysing designs, supporting integration/build, writing test plans, and supporting installation and trials. What we need from you: We are not expecting you to have deep theoretical knowledge of the technologies; what we are looking for is people with an engineering background that we can build upon through training, team working and mentoring. Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our devoted technical career path. You will need to be: • Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering., • Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be., • Analytical and Methodical - Together these traits enable Systems Engineers to create robust and scalable systems, ensuring they always meet the user needs., • Curious - Systems Engineers need to understand the "why", so being naturally curious will put you well on your way to being great at this new career already! Apply now to find out more about the LEAP Programme and embark on an exciting new career in Systems Engineering!

Are you: • Transitioning out of the Armed Forces? What is the Systems Engineering LEAP programme?: The Systems Engineering LEAP Programme is designed for great people who have transferable skills, delivering opportunities to start a career in Systems Engineering with a leading UK Defence company. • 18-month year fully paid Systems Engineering development programme., • Giving you a great career in Systems Engineering., • Structured applied training and development journey., • Employment with a leading Defence company working on the latest programmes., • Mentoring and peer to peer community support throughout., • Future permanent employment. What you'll do as a Systems Engineer: Systems Engineers work across a range of activities that help pull together all the necessary engineering and technology strands into a complex system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. We are searching for the next generation of Systems Engineers who come from a variety of backgrounds and skillsets. Based on your skills and foundation knowledge, we will provide suitable training and skills enhancement to transform you into a Systems Engineer. Typical work you might be involved in includes conducting early-stage research, engaging with stakeholders, transforming stakeholder needs into specifications, creating system architectures/designs, analysing designs, supporting integration/build, writing test plans, and supporting installation and trials. What we need from you: We are not expecting you to have deep theoretical knowledge of the technologies; what we are looking for is people with an engineering background that we can build upon through training, team working and mentoring. Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our devoted technical career path. You will need to be: • Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering., • Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be., • Analytical and Methodical - Together these traits enable Systems Engineers to create robust and scalable systems, ensuring they always meet the user needs., • Curious - Systems Engineers need to understand the "why", so being naturally curious will put you well on your way to being great at this new career already!, • Open minded - You'll be working with multi-disciplinary and diverse teams of people, so a positive and open mind is essential. All successful applicants must be eligible for full security clearance and access to UK-caveated and ITAR controlled information. Apply now to find out more about the LEAP Programme and embark on an exciting new career in Systems Engineering!

We’re partnering with an exciting early-stage biotech in Edinburgh that is building cutting-edge machine learning tools to unlock new understanding in gene regulation, synthetic biology, and next-generation therapeutics. This is a rare opportunity for an ML Engineer to join a highly ambitious, science-led team at an early stage and help scale a machine learning platform with real-world biological impact. The Opportunity You’ll work at the intersection of machine learning engineering, data infrastructure, and applied research, helping translate novel scientific ideas into robust ML systems. Key areas of focus include: • Building and optimising deep learning models (PyTorch), • Developing and maintaining scalable data pipelines for large genomics datasets, • Experiment tracking, benchmarking & reproducibility, • Improving model training efficiency and infrastructure, • Supporting deployment and model lifecycle management, • Contributing to AI/agentic workflows for scientific automation We’re looking for: • Strong Python & PyTorch experience, • Experience training / evaluating deep learning models in production or research environments, • A solid grounding in ML engineering best practice (pipelines, versioning, benchmarking, cloud compute), • Experience working with large-scale datasets, • Bonus points for transformers, biological sequence data, workflow tooling, or LLM / agentic AI exposure Why join? • Work on genuinely novel ML applications in biotech, • High ownership and visibility from day one, • Collaborative, research-driven culture, • Dedicated learning & development time, • Edinburgh-based with flexibility If you’re excited by applied ML, infrastructure, and solving hard scientific problems, I’d love to speak with you. Apply as directed above, or by sending your CV to for a confidential discussion.

Machine Learning Research Engineer Research-led role We’re partnering with an ambitious early-stage biotech company applying advanced machine learning to complex biological problems. This is a research-driven role for someone who wants to work on genuinely challenging problems at the intersection of deep learning and genomics. You’ll work directly with senior technical leadership, contributing to the development of next-generation models and research frameworks. What you’ll be doing: • Designing and developing advanced deep learning models for biological data, • Working with sequence-based and multimodal datasets, • Exploring new architectures, training strategies, and evaluation approaches, • Contributing to longer-term research directions (including foundation models), • Collaborating closely with bioinformatics and science teams What we’re looking for: • PhD in Machine Learning, AI, or a related field, • Strong experience with Python and PyTorch (or JAX), • Track record of independent research (publications, thesis, or equivalent), • Experience designing and training complex neural networks (e.g. transformers), • Strong experimental and problem-solving mindset Nice to have: • Experience working with biological or sequence data, • Exposure to large-scale or foundation model training, • Interest in applying ML to real-world scientific problems Why this role: • A genuinely research-led position with real influence, • Work on problems where the answers are not known, • Close collaboration with senior technical leadership, • Strong learning environment with dedicated development time, • Flexible working (4 or 5 day week) If you’re motivated by hard problems, real impact, and intellectual ownership, this is one to explore.

Analytical Scientist | Lypo Location: Edinburgh BioQuarter, Edinburgh Salary: £45,000 - £55,000 per annum, 1 year contract Commitment: Full-Time In-Person Requirement: 3-4 days on-site Reporting to: Rory Gordon, Founder About Lypo At Lypo, we are redefining how chemicals are made, developing programmable small molecule manufacture using waste-derived feedstocks. This technology leverages the nature and plasticity of microbial metabolism, combined with AI-engineered enzymes, to create sustainable, cost-effective ingredients for the cosmetics and pharmaceutical industries. Lypo is looking to grow rapidly, we are building a multidiscipline team with a culture of cross-pollination and shared learning. We are hiring an Analytical Scientist to lead the isolation, identification and characterisation of complex biomolecules. You will be one of the founding employees, meaning you will play a critical role in shaping our culture and workflows. The Role We are seeking a highly experienced Analytical Scientist to develop and implement high-throughput methods for chemical analysis (GC-MS, HPLC) of complex biomolecules. You will be critical to the team, ensuring datasets can be gathered and implemented quickly for AI training. We value an interdisciplinary mindset; whatever your background, you must be eager to work across traditional boundaries to solve challenges. Key Responsibilities 1. Chemical Analyses: Develop and implement high-throughput analytical methods. (e.g., GC-MS, HPLC)., 2. Data throughput: Maintain high-level of sample processing across several analytical machines, 3. Biomolecule Characterisation: Method development for isolation of complex isomers, including derivatisation and further analysis by NMR., 4. Equipment Care: Develop and implement S.O.P.s for analytical equipment care and upkeep., 5. Reporting & Communication: Communicate effectively with fortnightly research updates and regular group meetings., 6. Mentorship: Support the development of others across disciplines, skillsets and levels, with regular participation in skills training and problem sessions., 7. Workspace Management: Maintain a clean and organised environment, this includes the laboratory and online workspaces. Data should be organised, along with regular labbook entries. Experience & Requirements Professional Experience: PhD in Chemistry + 2 years Industry Experience, or MSc in Chemistry + 5 years industry experience. Required Skillset: Deep expertise in chemical analysis of complex molecules, with solid understanding of chromatography and analytical techniques (GC-MS, HPLC and NMR). Nice-to-Have: Experience with chemical synthesis. Any experience working outside of science. Salary & Flexibility Salary: £45,000 - £55,000, 1 year contract Flexibility: Full-time role with the option to work from home 1-2 days per week. How to Apply If you are motivated by solving hard problems and catalysing change, join us building the sustainable bio-economy! Please share your CV and Cover Letter detailing your experience, and desire to join Lypo, to the following email -

A pioneering research-focused engineering team is seeking Systems Research Engineers to help shape the next generation of AI-native infrastructure. This role sits at the intersection of systems research and large-scale engineering, focusing on distributed architectures that support the training, serving, and deployment of advanced AI models. The rapid evolution of large-scale AI models is transforming how modern computing systems are designed and deployed. A highly advanced research-driven engineering group is building the next wave of infrastructure that powers intelligent systems at scale—redefining how models are trained, served, and optimised across distributed environments. This role offers a unique blend of hands-on engineering and forward-looking research, ideal for engineers who want to push the boundaries of distributed systems and AI infrastructure while working on real-world, high-impact platforms. What You’ll Work On • Build and experiment with distributed system components tailored for data-intensive and AI-driven workloads., • Design scalable infrastructure capable of operating across diverse hardware environments including CPUs, GPUs, and accelerators., • Develop high-performance model serving systems with a focus on efficiency, scalability, and resilience., • Analyse system behaviour using profiling tools to uncover performance bottlenecks and optimisation opportunities., • Improve memory usage, caching strategies, and scheduling efficiency in large-scale inference systems., • Create solutions that enable low-latency, multi-tenant AI services in distributed environments., • Explore and prototype new approaches to inference architecture and cluster-level orchestration., • Translate technical innovations into tangible outcomes, including internal adoption and external publications., • Work closely with global teams to shape long-term infrastructure direction and strategy. What You’ll Bring • PhD in Computer Science, Electrical Engineering, or a related discipline., • Strong foundation in distributed systems and operating systems principles., • Understanding of machine learning infrastructure and large-scale model serving., • Experience with systems-level programming in C/C++., • Proficiency in Python for experimentation and rapid prototyping., • Familiarity with distributed algorithms and system design trade-offs., • Experience using performance analysis and profiling tools., • Ability to communicate complex ideas clearly and work effectively in collaborative environments., • Doctoral research in distributed systems, large-scale infrastructure, or AI platforms., • Contributions to recognised systems or machine learning conferences., • Hands-on experience with load balancing, fault tolerance, or cluster scheduling., • Exposure to distributed caching, state management, or high-performance cloud systems., • Experience building or optimising large-scale AI or cloud infrastructure. Why This Role Stands Out • Be part of a team shaping the infrastructure behind next-generation AI systems., • Work on problems that combine deep technical research with real-world deployment., • Gain exposure to cutting-edge architectures in distributed computing and AI., • Collaborate with globally recognized experts in systems and machine learning., • Opportunity to publish, innovate, and influence future technology directions., • Accelerate your career in one of the fastest-growing areas of technology. If you’re a motivated and skilled professional ready for your next challenge, apply now or send your CV to

Our client, a highly regarded and expanding Top 20 Accountancy firm with several UK offices and proud member of a renowned International network, seeks to recruit a suitably qualified and experienced Personal Tax Manager to join their Edinburgh team. Our client feels their people-focused approach truly sets them apart as you wont just be another face in the firm; youll be part of an ambitious, driven team dedicated to continuous learning and growth, investing in their people because they are the foundation of their success. With access to unparalleled resources and award-winning development programmes, youll have the freedom to shape your career while making a meaningful impact. Our client has also been awarded gold for Investors in People. This recognition reflects their deep commitment to nurturing talent and ensuring every individual feels valued and supported. Ourclient seeks a talented Tax Manager- Personal Taxwho thrives in a dynamic environment and embraces the chance to tackle complex challenges. Your work in Personal Tax will go beyond the numbers its about buildi...

AI Systems Research Engineer - LLM Optimisation Permanent Edinburgh City Centre (On-site 5 days), walking distance from local transport links Salary : Competitive and negotiable, generous benefits package In an era where Large Language Models (LLMs) are rebuilding the foundational software stack, our client is at the forefront of reshaping how large-scale models are trained, served, and deployed. Operating at the intersection of advanced systems research and industrial-scale engineering, their Edinburgh-based team is driving new AI Infrastructure & Agentic Serving architectures. This role is a unique opportunity to help define next-generation large-scale data centres and AI infrastructure systems, turning innovative system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing • Distributed Systems Research & Development : Architect, implement, and evaluate distributed system components for emerging AI and data-centric workloads. Drive modular design and scalability across GPU, and NPU clusters, building highly efficient serving and scheduling systems., • Performance Optimization & Profiling : Conduct in-depth profiling and performance tuning of large-scale inference and data pipelines, focusing on KV cache management, heterogeneous memory scheduling, and high-throughput inference serving using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems., • Scalable Model Serving Infrastructure : Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research and prototype new techniques for cache sharing, data locality, and resource orchestration and scheduling within AI clusters., • Research & Publications : Translate innovative research ideas into publishable contributions at leading venues (e.g., OSDI, NSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR) while driving internal adoption of novel methods and architectures., • Cross-Team Collaboration : Communicate technical insights, research progress, and evaluation outcomes effectively to multidisciplinary stakeholders and global research teams. What we are looking for • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field, • Fresh PhD graduates in systems, distributed computing, or large-scale AI infrastructure are also welcome, • At least 2 years of experience with LLM inference / serving framework optimization (vLLM / Ray Serve / TensorRT-LLM / PyTorch), • Hands-on experience with distributed KV cache optimization, • Familiarity with GPU and how they execute LLMs, • Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure., • Solid grounding in systems research methodology, distributed algorithms, and profiling tools., • Proficiency in C/C++, with additional experience in Python for research prototyping., • Team-oriented mindset with effective technical communication skills If this sounds like a role you can take hold of, we would love to hear from you! To apply for this role, please send your CV to Maggie Kwong Great journeys start here, apply now!

Are you: Transitioning out of the Armed Forces? From an engineering/technical background? Then the Systems Engineering LEAP programme is for you! What is the Systems Engineering LEAP programme?: The Systems Engineering LEAP Programme is designed for great people who have transferable skills, delivering opportunities to start a career in Systems Engineering with a leading UK Defence company . These roles can be based from Edinburgh, Newcastle, and Luton. 18-month year fully paid Systems Engineering development programme. Giving you a great career in Systems Engineering . Structured applied training and development journey. Employment with a leading Defence company working on the latest programmes. Mentoring and peer to peer community support throughout. Future permanent employment. What you'll do as a Systems Engineer: Systems Engineers work across a range of activities that help pull together all the necessary engineering and technology strands into a complex system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. We are searching for the next generation of Systems Engineers who come from a variety of backgrounds and skillsets. Based on your skills and foundation knowledge, we will provide suitable training and skills enhancement to transform you into a Systems Engineer. Typical work you might be involved in includes conducting early-stage research, engaging with stakeholders, transforming stakeholder needs into specifications, creating system architectures/designs, analysing designs, supporting integration/build, writing test plans, and supporting installation and trials. What we need from you: We are not expecting you to have deep theoretical knowledge of the technologies; what we are looking for is people with an engineering background that we can build upon through training, team working and mentoring. Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our devoted technical career path. You will need to be: Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering. Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be. Analytical and Methodical - Together these traits enable Systems Engineers to create robust and scalable systems, ensuring they always meet the user needs. Curious - Systems Engineers need to understand the 'why', so being naturally curious will put you well on your way to being great at this new career already! Open minded - You'll be working with multi-disciplinary and diverse teams of people, so a positive and open mind is essential. All successful applicants must be eligible for full security clearance and access to UK-caveated and ITAR controlled information. Apply now to find out more about the LEAP Programme and embark on an exciting new career in Systems Engineering! TPBN1_UKTJ

Amazon Web Services (AWS) is looking for a GenAI/ML Specialist Solutions Architect based in Spotalnd to help large enterprise customers drive innovation through Generative AI and Machine Learning technologies. This role involves providing deep technical expertise, acting as a trusted advisor to busi

What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step thinking records that teach lar

Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we

Kleboe Jardine Ltd in Edinburgh is seeking a passionate researcher to develop advanced deep learning models for biological data.As part of an ambitious biotech company, you'll engage directly with senior technical leadership and collaborate with bioinformatics teams on innovative projects.Required q

The Breakfast will support the smooth running and objectives of the Kitchen department. All members of the department work together to create memorable moments for guests, in line with both company and hotel-specific service standards, and collaborate closely with other departments within the hotel. You will act as an ambassador for your own hotel and the wider Leonardo Hotels estate, demonstrating the company vision, mission and values. At all times, you will treat others around you with respect, dignity and fairness. As a Breakfast Chef you'll be right in the heart of the hotel, so we want you to take pride in everything you'll be doing to support the Head Chef and keep things running like clockwork. Take a deep breath because you'll be stepping into a busy role! You'll be passionate about your working area and responsibilities, and working as part of a vibrant team to deliver the best breakfast experience to our guests! If you're our ideal Breakfast chef, you will: • Absolutely love the busy Kitchen environment * Have a willingness to learn and adapt, and deliver the high-quality fresh breakfasts that our guests expect * Thrive under pressure to create delicious food * Be keen to step up when the situation demands * Aspire to grow with us - with our amazing Junior Chef Programme, you can take your skills and career to the next level Some of the perks you could enjoy include: - Special rates on Leonardo Hotel rooms across the UK & Europe - Company-wide recognition scheme: you could earn vouchers to spend on a wide range of high street shops - Talent referral scheme - Thank You Week: from ice cream trucks to yoga classes and lots in between! - Wellbeing Calendar - Ongoing job-related training programmes with clear paths for progression We're committed to creating a workplace where every individual-regardless of background, identity, or lived experience-is welcomed, valued, and respected for who they are. Belonging means embracing our differences and ensuring everyone feels seen, heard, and empowered. Why come join us? We look after our colleagues just as well as we look after our guests. Our regular Learning Bites, "Come Join Us Guest Care" training and Wellbeing webinars all help your progress with us. With support on tap, top-notch practical training and clear progression you'll be on track for a brilliant future in Hospitality! TPBN1_UKCT

At Ottolenghi, we're known for vibrant food, busy delis, and restaurants full of energy, but what really matters is our people. We create environments where teams feel supported, take pride in what they do, and deliver a genuinely warm experience to every guest. Ottolenghi Edinburgh marks an exciting new chapter for us, our first restaurant in Scotland. Opening in autumn 2026, this will be a vibrant, busy restaurant with a genuine commitment to fresh, seasonal produce and sustainability at its heart. What youll do Support the Head Chef in leading the kitchen team and setting the tone for a supportive, high-performance culture. Oversee sections and support daily kitchen operations to ensure consistency and excellence in food quality and presentation. Work closely with the Ottolenghi Test Kitchen on new menu ideas and seasonal development. Uphold food hygiene and safety standards, ensuring a clean and well-organised kitchen at all times. Help manage stock control, ordering, and food costs efficiently and sustainably. Assist in rota planning and labour management to meet operational and financial goals. Take an active role in mentoring and training junior chefs, sharing knowledge and building confidence. Collaborate closely with the General Manager and front-of-house team to deliver a seamless and memorable guest experience. What were looking for Proven experience as a Sous Chef or Senior Chef de Partie in a high-quality, fast-paced kitchen, minimum of 2 years. Someone who thrives in a collaborative environment and genuinely enjoys developing others. A passion for fresh, seasonal cooking and the creativity to bring something special to the pass. A calm, hands-on approach and the ability to lead by example. A genuine pride in maintaining high standards and a positive kitchen culture. Key skills Strong knowledge of culinary techniques and a deep understanding of flavour and seasonality. Excellent people management and communication skills. Confident managing stock, food costs, and kitchen administration. Calm under pressure with a solutions-focused mindset. Well-organised with excellent attention to detail. Comfortable using relevant kitchen management and IT systems. A genuine passion for food, people, and continuous improvement. Whats in it for you? 30 days annual leave per year, inclusive of bank holidays Delicious Ottolenghi staff meals on shift and generous staff discount Health and well-being support through our HSF healthcare plan (covering dental, optical, physiotherapy, and more), plus a 24/7 GP helpline and access to Perkbox discounts Refer a Friend Bonus: £500 for each successful referral Learning & Development opportunities including management coaching, WSET wine training, Ottolenghi Chefs Academy workshops, and access to external courses A warm, inclusive working culture where individuality, growth, and creativity are celebrated Enhanced Parental Pay after two years service A special birthday treat to celebrate your day Exclusive workshops and demos, including cooking, food, wine, and cocktail sessions in the Ottolenghi Test Kitchen A collaborative and creative environment where your ideas are valued If you care about great food, great people, and doing things properly, we'd love to hear from you. TPBN1_UKCT

Our client, a highly regarded and expanding Top 20 Accountancy firm with several UK offices and proud member of a renowned International network, seeks to recruit a suitably qualified and experienced Personal Tax Manager to join their Edinburgh team. Our client feels their people-focused approach truly sets them apart as you wont just be another face in the firm; youll be part of an ambitious, driven team dedicated to continuous learning and growth, investing in their people because they are the foundation of their success. With access to unparalleled resources and award-winning development programmes, youll have the freedom to shape your career while making a meaningful impact. Our client has also been awarded gold for Investors in People. This recognition reflects their deep commitment to nurturing talent and ensuring every individual feels valued and supported. Our client seeks a talented Tax Manager- Personal Tax who thrives in a dynamic environment and embraces the chance to tackle complex challenges. Your work in Personal Tax will go beyond the numbers its about building meaningful client relationships, understanding their businesses, navigating risks, and delivering insights that drive real results. Just some of the rewards and reasons to join! Being an individual with unique talents and aspirations, our Client's benefits are designed to support your well-being, foster your professional growth, and recognise your contributions. Agile Working: Enjoy the flexibility of core hours from 10 AM to 2 PM and two home working days, allowing you to balance your work and personal commitments seamlessly. 33 days holiday Inc. bank holidays, plus the opportunity to buy or sell up to 5 days (28 days on a training contract, with the opportunity to buy 5 days) Competitive salary package Employee recognition awards: Outstanding Performance Award Bonus and other recognition initiatives. New and improved programme for succession planning and supportive management structure to help you realise your potential Employee Assistance Programme: Access a free confidential 24-hour support service, including unlimited counselling sessions and virtual doctors available for you and your family. Varied and interesting Tax work with a wide range of clients Real scope to further develop and progress Main duties: Manage portfolio of clients, meeting their requirements and maximising fee income. Manage the production of clients personal tax computations. Plan, control, and review work carried out be team members to ensure work is completed within time frames and budget. Respond to tax queries from Partners/Directors/Managers. Carry out consultancy work when required. Attend client meetings where appropriate. Design and implement standard letters/systems to improve the efficiency of the Tax Department. Spot opportunities for relevant advisory work with existing clients. People management, training, mentoring What our Client seeks: ICAS, ACA or CTA qualified with proven UK PERSONAL TAX experience in practice Varied, practical and technical tax knowledge. Positive, enthusiastic approach Able to manage/ train junior members of staff. IT packages (Excel, tax software, Word). Communication skills. Organisational skills. Commercial awareness / client focus. Problem solving and decision making. Ability to work well under pressure. TPBN1_UKTJ

The Chef de Partie will support the smooth running and objectives of the Kitchen department. All members of the department work together to create memorable moments for guests, in line with both company and hotel-specific service standards, and collaborate closely with other departments within the hotel. You will act as an ambassador for your own hotel and the wider Leonardo Hotels estate, demonstrating the company vision, mission and values. At all times, you will treat others around you with respect, dignity and fairness. As a Chef De Partie you'll be right in the heart of the hotel, so we want you to take pride in everything you'll be doing to support the Head Chef and keep things running like clockwork. Take a deep breath because you'll be stepping into a busy role! You'll be passionate about your working area and responsibilities, and thrive under pressure whilst working alongside a vibrant team to exceed our guests' expectations. If you're our ideal Chef De Partie, you will: • Love the Kitchen and grow whilst working in a fast-paced environment * Be keen to step up when the situation demands and able to lead sections within the Kitchen * Have a willingness to learn, adapt and deliver to the high standard of food our guests expect * Aspire to grow with us - with our amazing Senior Chef Programme, you can take your skills and career to the next level * Have an eagle eye with keen attention to detail * Be full of beans, however ideas will just be fine too! Some of the perks you could enjoy include: - Special rates on Leonardo Hotel rooms across the UK & Europe - Company-wide recognition scheme: you could earn vouchers to spend on a wide range of high street shops - Talent referral scheme - Thank You Week: from ice cream trucks to yoga classes and lots in between! - Wellbeing Calendar - Ongoing job-related training programmes with clear paths for progression We're committed to creating a workplace where every individual-regardless of background, identity, or lived experience-is welcomed, valued, and respected for who they are. Belonging means embracing our differences and ensuring everyone feels seen, heard, and empowered. Why come join us? We look after our colleagues just as well as we look after our guests. Our regular Learning Bites, "Come Join Us Guest Care" training and Wellbeing webinars all help your progress with us. With support on tap, top-notch practical training and clear progression you'll be on track for a brilliant future in Hospitality! TPBN1_UKCT

The role involves designing, developing, and testing AI and machine learning models; pre-processing and analyzing large data sets; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing al

Search, Ranking, Retrieval and LLM Modelling.We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery.With AI assistants becoming the first place consumers turn to for information and recommendations, brands need to unders

Lead the design, development, evaluation, and deployment of machine learning models for predictive, classification, recommendation, anomaly detection, forecasting, and optimization use cases. Work with tools and platforms such as Azure Machine Learning, Databricks, MLflow, Azure DevOps, GitHub, Dock

Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. You thrive on deep context and want to understand the fundamental logic behind every

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. Machine Learning Engineer (NLP). As Machine Learning Engineer (NLP), you will be responsible for:.

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Monday - Friday | 40 Hours Per Week.Weekly Pay | Overtime Available.Manpower Scotland are currently recruiting on behalf of a well-established food production client for a Site Services Cleaner to join their busy site on a temporary ongoing booking.This is a great opportunity for a reliable and hard

Opportunities for permanent jobs.Physically intensive role involving extensive walking, heavy lifting and regular bending/kneeling.Outdoor work in all weather conditions.Cleaning and servicing city streets and public spaces.Sweeping, brushing, and removing leaves and debris.Removing weeds from pavem

This role is being advertised by Brightwork who are recruiting for our Prestigious Retail client in the centre of Edinburgh Area who require a temporary Night Shift cleaner for their site.Working hours are 2130-0500 on a 4 on and 4 off shift pattern (so this role does include weekend work).Intereste

As an Aldi Store Cleaner, you’ll be key to keeping our store clean, safe, and welcoming.Your duties cover everything from clearing litter around the store to cleaning windows and ensuring trolleys are tidy and ready for customers.You’ll work as part of a team proud to maintain Aldi’s high sta

Monday to Sunday between the hours of 07.Temporary ongoing Ad Hoc work with no end date.Immediate start available subject to a PVG check.Maintain high cleaning and hygiene standards.Follow health & safety and infection control procedures.Respond to cleaning needs professionally and respectfully.Flex

Elior at work - Workdays Made Better with Great Food.Whether it's a quick grab-and-go snack or a hearty lunch, with.To ensure full area of responsibility is cleaned (and cleared where contractually bound) in line with relevant cleaning schedule to Elior UK and client standards.To ensure COSHH and He

Workplace Arrangement #LI-Onsite .We are expanding our manufacturing facility in Coleraine, Co.Londonderry and have several exciting opportunities available for .In this role, you will work on a 3-week rotating shift schedule.Shifts are 12 hours each (from 7am–7pm or 7pm–7am), alternating be

Applying data science and machine learning approaches to drug discovery problems. Strong Python and applied machine learning experience. You will work closely with cross-functional stakeholders across research and technology, applying advanced analytics and machine learning to support discovery prog

They are a global, fully remote fintech working across payments and credit risk.Their teams operate internationally collaborating on high impact risk and credit solutions.They use Python, SQL and GenAI tools heavily across the business.Deliver credit risk and fraud analytics across partner portfolio

You will work closely with stakeholders across clinical, biostatistics, data management, programming and wider technology teams, applying advanced analytics and machine learning to support trial delivery and evidence generation. Strong Python and applied machine learning experience.

Self Employed Part T ime Vehicle Pitch Cleaner Motorclean have an opportunity for a Self Employed Vehicle Pitch Cleaner based on site at a Car Dealership based in Scarborough.Working hours : Monday, Wednesday and Friday 8:30- 17:00 Pay: £12.Responsibilities and tasks: Ensure vehicles on display in

Job Description Working for us Are you passionate about making a positive impact in your community? Do you thrive in a dynamic environment where teamwork and innovation are valued? If so, we have the perfect opportunity for you! Scottish Borders Council is seeking dedicated individuals to join our

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.Part-Time / Seasonal - working Mondays and Fridays .Join our One Great Team here at Haven as an Accommodation Cleaner, where you'll help create spotless, welcoming spaces fo

Are you passionate about making a positive impact in your community? Do you thrive in a dynamic environment where teamwork and innovation are valued? If so, we have the perfect opportunity for you! Scottish Borders Council is seeking dedicated individuals to join our team and help us serve our commu