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Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1 or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1+ level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for Large Language Model (LLM) training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract • High-School or equivalent diploma., • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy, • Bachelor’s degree in a relevant field or equivalent professional experience, • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract BASIC QUALIFICATIONS- High-School or equivalent diploma. • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • CEFR C1 or equivalent fluency in German language, • Written and spoken knowledge of English is essential (CEFR C1), • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract BASIC QUALIFICATIONS- High-School or equivalent diploma. • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Experience with creating complex data for LLM training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities. Key job responsibilities • Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content, • Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines, • Performing audits and quality checks of tasks completed by other specialists, if required, • Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, • Diving deep into issues and implementing solutions independently, • Identifying and reporting tooling bugs and suggesting improvements A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. BASIC QUALIFICATIONS- High-School or equivalent diploma. • Proven experience working with written language data, including experience with annotation, and other forms of data markup., • Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1+ level in the Common European Framework CEFR scale)., • Strong understanding of U.S.-based culture, society, and norms., • Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism., • Excellent attention to details and ability to focus for a long period of time, • Comfortable with high-school level STEM, • Ability to effectively write and evaluate diverse subject matter across various domains, • Ability to adapt writing style to suit various style guidelines and customers., • Experience with creating complex data for Large Language Model (LLM) training and evaluation, • Proven experience working with command line interfaces and basic UNIX commands, • Familiarity with common markup languages such as HTML, XML, Markdown, • Familiarity with common standard text formats such as JSON, CSV, RTF, • Working knowledge of Python or another scripting language, • Familiarity with regular expressions syntax, • Familiarity with Large Language Models, • Comfort in annotation work that may include sensitive content Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The Person A dynamic and results-driven Director of Sales, who acts as ambassador of The Fellows House hotel. You will embody our core values of cultured, devoted and person centred, displaying value driven leadership with a devotion to excellence. You will have a passion for hospitality with a customer centric mindset demonstrating a deep devotion to providing a person-centered experience for both guests and team members. The Role You will play a pivotal role in driving revenue, increasing brand awareness, and fostering guest loyalty. The ideal candidate will possess a strong background in hotel sales, demonstrating creativity, strategic thinking, and effective leadership skills. You will possess the ability to develop and implement successful sales strategies and be passionate about delivering exceptional guest experiences and play a key role in promoting and enhancing The Fellows House brand. If you have a proven track record in sales and marketing within the hospitality industry, possess leadership skills, and align with our brand values, we encourage you to apply. Key Responsibilities • Develop and implement strategic sales plans aligned with The Fellows House brand values and business objectives., • Drive community engagement strategies that enhance the reputation of The Fellows House and make The Fellows House the hub of the local community., • Build on and develop relationships with current clients, • Analyse current markets and identify new markets and potential clients, • Ensure in house promotional material is current, effective and supports any new sales and marketing promotion., • Lead a high-performing team to achieve sales targets, drive revenue growth, and enhance market share., • Cultivate and maintain relationships with key clients, partners, and stakeholders to drive business opportunities., • Analyse market trends, competitor activities, and customer feedback to identify opportunities for improvement and innovation., • Collaborate with cross-functional teams, including operations and event management, to ensure seamless guest experiences., • Provide regular reports and updates to senior management on sales initiatives, and market trends., • Ensure that all outgoing communications are in line with brand guidelines., • Devise and coordinate regular guest surveys, analysing the results and recommending continuous improvement ideas and actions., • Deliver the product to expected Brand standards and manage the QE process., • Devise and coordinate regular guest surveys, analysing the results and recommending continuous improvement ideas and actions. Qualifications • Bachelor's degree in Sales, Business, or a related field. Master's degree is a plus., • Minimum of 5 years of experience in sales within the hospitality industry, with a focus on hotels., • Proven track record of achieving and exceeding sales targets., • Strong leadership and team management skills., • Excellent communication, negotiation, and interpersonal skills, • In-depth knowledge of digital marketing strategies and tools., • Familiarity with the Fellows brand and a commitment to upholding its values., • Ability to work independently and collaboratively in a fast-paced environment., • Ability to travel as needed. The Hotel The Fellows House known for its commitment to providing exceptional experiences for guests. Rooted in the values of cultured, person-centered, and devoted we strive to create memorable moments that resonate with our guests and team members alike. We seek exceptional people who embody our values, are dynamic and want to contribute to the continued success and growth of our hotel. Our Values Cultured • We believe in understanding and engaging with everyone on a human level. We recognise that everyone deserves to be appreciated for the genuine person they are with unique needs, desires, tastes, and preferences. In exchange for your efforts and dedication we offer a fantastic place to work, an opportunity to shape the culture of a new hotel and a comprehensive benefits package. Benefits include: • Comprehensive salary package, • Access to GO Hilton Travel Programme – stay in Hilton Hotels around the world for as little as 35$., • 50% F&B Discount when staying in Hilton Hotels through the Go Hilton Travel Programme, • Staff meals and hot drinks on shift, • Career Development, • Extensive learning & development opportunities If you wish to be considered for this superb opportunity click ’apply’.

Senior OS Performance Expert Permanent Cambridge - (On-Site) You must be eligible to work in the UK without the need for Sponsorship As a Senior OS Performance Expert, you will play a key role in optimizing the performance of next-generation mobile operating systems. You’ll focus on improving system architecture, enhancing efficiency, and ensuring optimal power consumption and thermal performance. Key Responsibilities Enhancing Mobile OS System Performance: • Conduct in-depth research on runtime resource management and control policies., • Investigate kernel task scheduling and SoC frequency modulation mechanisms., • Collaborate on software/hardware co-design to improve system integration., • Identify and resolve operating system performance bottlenecks., • Design and implement solutions that deliver smooth and reliable product performance. Researching OS Application Architecture: • Strengthen the competitiveness of key mobile OS technologies., • Improve application responsiveness and user interaction., • Design and optimize high-performance core modules., • Solve complex technical challenges in application architecture., • Stay current with industry trends and emerging OS application technologies., • Develop high-performance APIs and development paradigms to enhance application performance and ease of use. Developing Performance Capabilities: • Define technical roadmaps and establish performance standards., • Create performance evaluation systems and supporting infrastructure., • Advance key technical capabilities in the performance domain., • Build and maintain deep expertise in operating system performance optimization. What We’re Looking For • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field., • Strong understanding of data structures and algorithms., • Proficiency in one or more programming languages (e.g., Java, C++, Python, JavaScript, Go, HTML)., • Extensive experience in operating system performance optimization, systems engineering, or similar areas. Desirable Qualifications • Experience developing mobile or Internet applications, or working with iOS/Android operating systems., • Familiarity with front-end technologies such as JavaScript frameworks (React, Angular, Vue.js), HTML5, and CSS., • Knowledge of operating system principles, system architecture, and performance/power optimization techniques., • Track record of publishing research or papers in related technical fields or international conferences/journals.

We are recruiting a Head of Construction for a global engineering leader specialising in combustion and environmental solutions in the Oil and Gas sector. This is a unique, senior-level opportunity to build and lead a new Construction function from the ground up. Starting at the company’s UK headquarters, the successful candidate will design and develop the team, systems, and procedures before transitioning into a globally mobile leadership role across key EMEA projects. With a world-class portfolio of burners, flares, incinerators, and environmental control systems, the company delivers complex construction and installation projects across the oil & gas, petrochemical, power generation, and industrial sectors. Projects are delivered under LSTK (Lump Sum Turnkey) contracts, meaning the Construction Manager will be responsible for overseeing full project delivery, from design and procurement to construction and commissioning, ensuring accountability, efficiency, and technical excellence at every stage. As the Head of Construction EMEA, you’ll be responsible for the full lifecycle of on-site construction delivery across multiple high-value international projects. This EMEA Construction Manager will establish the structure and capability of the construction function before assuming responsibility for on-site leadership across EMEA once operations are in place. Key Responsibilities • Build and structure a high-performing EMEA Construction Team from the ground up., • Manage complex LSTK site-based construction projects from planning to handover., • Oversee the full turnkey scope, including design integration, procurement coordination, construction management, and final commissioning., • Collaborate closely with Application Engineers across all product groups and global locations to ensure cohesive execution of site works., • Identify and prioritise areas of strategic growth and high-value execution opportunities. Commercial & Client Interface • Manage project budgets, reporting, and earned value tracking., • Interface with clients across all stages of construction, ensuring deliverables meet expectations., • Represent the company’s technical excellence in all external communications. Strategic & Operational Influence • Develop forecasts of upcoming LSTK work by working closely with Application Engineers across global teams and product groups., • Identify focus areas for growth and delivery of site execution to support business development strategy., • Shape long-term EMEA construction strategy in collaboration with senior leadership., • Standardise systems and processes to ensure repeatable project success., • Lead performance optimisation initiatives across the region. About You • Proven experience in leading LSTK (Lump Sum Turnkey) construction projects within oil & gas or complex industrial environments (essential)., • Strong commercial acumen and confident in contract negotiations and cost control., • Demonstrated success in building and managing international or multi-site construction teams., • Deep understanding of regulatory frameworks and health & safety in complex industrial environments., • Confident communicator and capable leader, able to influence at all levels., • Willing and able to be onsite full-time in Rutland during the setup phase., • Willing to travel extensively across EMEA and commit to long periods working overseas., • Previous experience delivering projects in the EMEA region or globally is highly desirable. Why Apply? • Set up and lead a brand-new construction function at a world-leading engineering company., • Deliver full turnkey solutions from design to commissioning across international projects., • Enjoy a high-impact leadership position with genuine international scope and long-term career progression., • Work from a purpose-built facility in Rutland with full support during relocation. Ready to lead LSTK project delivery across EMEA? Apply now for this Group Construction Manager – Oil & Gas role and take ownership of a globally significant, engineering-led growth strategy.

The successful candidate will be responsible for developing and maintaining strong client relationships, driving account growth, and identifying opportunities to expand business with existing clients. Build and maintain strong, trusted client relationships through a deep understanding of client need

Senior Associate – Infrastructure Disputes (3+ PQE) – Cambridge The Opportunity • Join our client, a leading and growing Construction & Engineering team with a strong track record across major infrastructure projects internationally, • Be part of the Cambridge office – working closely with the London team and globally recognised lawyers, • Advise on disputes arising from complex, high-profile infrastructure projects across a diverse range of clients and sectors, • Exposure to both UK and international matters, with opportunities to handle cross-border disputes and collaborate with colleagues worldwide, • Combine high-quality work with the culture and lifestyle benefits of being part of a well-established Cambridge practice The Role • Advise on contentious issues relating to major infrastructure and construction projects, • Handle adjudication, litigation (including Technology & Construction Court), arbitration, and alternative dispute resolution, • Provide early risk management and project advice to help clients minimise disputes before they escalate, • Manage your own caseload and play a key role in client relationships while supporting the wider team on complex, high-value matters, • Contribute to business development and mentor junior lawyers within the practice What We’re Looking For • Minimum 3 years PQE with strong experience in construction or infrastructure disputes, • Excellent technical and analytical skills with a commercial approach, • Strong communication and client-handling abilities, • Proactive, collaborative and motivated to develop your career within a market-leading team, • An interest in building long-term relationships with clients in diverse sectors Why Apply? • Join a well-established firm with a top-tier Construction & Engineering practice, • Work on complex, high-value infrastructure disputes at the forefront of the sector, • Opportunity to learn from and work alongside leading partners with deep sector experience, • International exposure combined with the benefits of a supportive, collaborative Cambridge office, • Clear scope for progression and development within a high-performing team Location: Cambridge PQE: 3+ years To Apply or for more information: contact OR +44 141 648 0372

Join a high-performing Private Client team at the forefront of the firm’s growth – where you’ll gain strategic exposure, make your mark as a subject-matter expert, and be part of a legacy of excellence in one of the UK’s most respected departments. This opportunity offers flexibility across the firm's network of office locations, which include Bristol, Cambridge, Nottingham, Peterborough – allowing you to shape your career from where you work best. Package & Benefits • 30 days annual leave plus bank holidays, • Extra leave for Christmas Eve, New Year’s Eve (PM) and your birthday, • Private healthcare (Bupa) – individual cover paid for, • Healthcare cashback plan, • Enhanced 5% matched pension, • Life assurance (4x salary), • Option to buy additional leave, • Volunteering day annually, • Agile hybrid working and inter-office collaboration Why This Business This is not your typical law firm. Private Client leads the firm’s success – backed by an exceptional leadership team with deep-rooted expertise and a £7.5M+ revenue track record. With a network of 6 UK offices and growing international presence, this is a standout opportunity to join a collaborative, innovative and commercially sharp environment. What You’ll Be Doing • Deliver expert advice on trust creation, administration and complex tax matters, • Act as a specialist within a wider Private Client function – supporting teams across the business, • Lead on matters involving trust settlements and related documentation, • Play a visible role in driving high-value workstreams and supporting future team growth What You’ll Bring • Qualified solicitor or chartered legal executive (3–10 years PQE), • Strong technical expertise across trusts and tax in a Private Client context, • Experience drafting trust-related documents and advising on IHT, CGT, and estate planning, • Proven ability to handle complex files independently and with commercial judgement Who This Suits You’re a trusts and tax specialist who thrives on complexity and values long-term progression. You want to be part of a firm where Private Client is not a back-office function – but the strategic heart of the business. You’re collaborative, commercially aware, and looking for a visible, valued role where your expertise will be fully utilised. Apply now for a confidential conversation with Walker Lovell.

Description Nuclera is a venture-backed biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. Nuclera’s mission is to accelerate discovery by enabling rapid, easy access to functional proteins essential for drug discovery research. Our eProtein Discovery™ benchtop system accelerates protein expression and purification optimization in research labs. Nuclera is seeking a strategic, hands-on Product Strategy Manager - Antibody Applications to own the antibody applications roadmap on our eProtein Discovery system. This high-impact role will drive adoption among antibody discovery and reagent developers by translating market needs into differentiated product strategy, offerings, and go-to-market plans. You’ll serve as the antibody domain expert within the product organization—partnering closely with R&D, commercial, and customer-facing teams to accelerate growth in this core application area. The ideal candidate will be a seasoned antibody scientist with proven commercial experience—deeply familiar with the pain points, challenges, and opportunities in antibody discovery workflows. They will be skilled at translating deep domain knowledge and voice-of-customer insights into compelling product strategies that drive adoption and success of Nuclera’s eProtein Discovery System. This role requires approximately 20% travel, including domestic and international trips, to attend customer meetings, industry events, and visits to UK office as needed. About the role: Product Strategy & Roadmap • Define and drive the antibody application strategy, identifying key workflows and unmet customer needs, • Develop a sequenced roadmap to guide productization of antibody-relevant workflows, • Champion market-fit, pricing models, and routes to scale adoption Go-to-Market & Commercialization • Collaborate with commercial and marketing teams to launch and scale antibody-focused solutions, • Support market messaging, product positioning, and customer segmentation, • Enable pilot-to-revenue transition through collaborations, validated use cases and scalable offerings Customer & Market Insights • Lead rigorous, ongoing market research and VOC programs (surveys, in-depth interviews, advisory boards) to surface unmet needs in protein science., • Translate these insights into prioritized feature investments and clear business cases that inform the product roadmap., • Spend significant time in the field with customers to understand pain points and validate fit, • Distill voice-of-customer insights into clear product needs and roadmap clarity, • Track competitive landscape to ensure differentiation and sharpen value proposition Cross-Functional Leadership & Stakeholder Management: • Serve as the senior liaison between external stakeholders (customers, KOLs, sales, marketing) and internal teams (R&D, operations, quality, finance)., • Champion product requirements, secure executive buy-in, and ensure transparent communication on priorities, timelines, and metrics., • Support onboarding, training, and internal enablement for antibody use cases, • Contribute to strategic planning and resource prioritization for antibody and adjacent applications Cultivate Strategic Partnerships with Thought Leaders: • Build and steer high-impact relationships with Key Opinion Leaders (KOLs), academic and industry collaborators, and channel partners—co-developing new applications and pioneering use cases that expand and differentiate our eProtein Discovery platform Requirements • 5+ years of experience in product strategy or product management, • Advanced degree (PhD, MS) in related field required and/or or application development in the antibody discovery or life sciences tools space, • Extensive knowledge of recombinant antibodies and downstream uses, • Proven track record building roadmaps, aligning cross-functional teams, and launching successful solutions, • Significant experience with customer engagement, market validation, and commercial translation, • Ability to think both strategically and tactically in a fast-paced, startup environment UK Benefits What we offer: In addition to competitive salaries, we offer a range of benefits including: • Company bonus scheme of 5%, • Life insurance, • Private medical insurance and cash plan, • 25 days' annual leave + Bank Holidays, • Enhanced employer's pension contributions, • Enhanced maternity and paternity Leave, • Investment in professional development and learning, • Access to amenities on Vision Park and in Histon, • Fresh fruit, tea, coffee, and snacks in the office, • Organised team events

Machine Learning Engineer We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: * MSc or PhD in ML, Biomedical Engineering, or related field * Strong experience with PyTorch/TensorFlow and Python * Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.) * Skilled in model optimization for constrained devices * Comfortable in a startup environment - proactive, collaborative, and adaptable What you'll do: * Build and optimize deep learning models for on-device biosignal monitoring * Work on model compression, quantization, and other techniques for edge deployment * Collaborate closely with the CTO and technical team to deploy models in production * Contribute across the stack - from signal processing to product and hardware integration * Help shape the direction of a fast-moving startup Desired Skills and Experience On Device, TinyML, Optimisation, Audio

🌍 Location: Cambridge, UK 🏢 Company: AllFocal Optics 🧠 Role: Optical Engineer (Full-Time) About AllFocal Optics At AllFocal Optics, we’re redefining how the world sees through light. Born out of the University of Cambridge, we’re pioneering always-in-focus breakthrough technology that eliminates visual strain and transforms the way people experience extended reality (XR). We are currently seeking an exceptional Optical Engineer to join our dynamic team. This role offers the opportunity to work on groundbreaking optical technologies, contribute to innovative projects, and be part of a company that values creativity, collaboration, and technical excellence. The Role We’re looking for an ambitious Optical Engineer (PhD or equivalent experience) who’s excited to work at the edge of possibility. You’ll be part of a small, fast-moving, and deeply technical team developing next-generation optical systems for AR/VR headsets, HUDs, and novel display architectures. What You’ll Do • Design, simulate, and prototype novel optical components and imaging systems., • Run hands-on table-top optical experiments and translate theory into functional prototypes., • Work closely with world-class partners in industry and academia to push the limits of performance., • Contribute directly to patentable inventions and next-generation product architectures., • Shape a new optical design paradigm for the spatial-computing era. What You’ll Bring Essential: • Strong understanding of geometrical and physical optics., • Practical experience in experimental optics and laboratory setups., • Proficiency with Ansys Zemax, or equivalent optical simulation tools., • Experience with head-mounted displays (HMDs) or head-up displays (HUDs)., • Familiarity with free-space optics., • Enthusiasm for working in a start-up environment, where ideas rapidly turn into impact. Why Join Us • 💸 Competitive salary with equity options — share in the upside of your innovation., • 🚀 Work on technology that could redefine an entire industry., • 🎓 Strong focus on professional development, mentorship, and publication/IP opportunities., • 🧩 A collaborative, creative environment where your ideas directly shape real products., • 🌍 Visa sponsorship available for outstanding candidates., • 🏛️ Located in the heart of Cambridge’s deep-tech ecosystem, surrounded by world-leading innovators. If you’re a curious, driven PhD graduate who loves turning light into magic — this is your moment. Join us in building the optical foundation for the future of AR, VR, and beyond. 📩 Apply now and help shape what’s next in human vision.

Take full accountability for the Business Unit’s P&L, including forecasting, budgeting, and delivery against KPIs. With strong business acumen, deep understanding of rare diseases, and the ability to navigate senior NHS stakeholders, they combine vision with execution. Resilient, collaborative, an

PyTorch, TensorFlow, JAX) and chemistry toolkits (e. Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required. Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at.

As a Machine Learning Engineer at Neutreeno, you’ll lead the development of intelligent systems that power our emissions and decarbonisation capabilities. Develop an emission intensity inference model using deep learning techniques that leverage uncertainty. Master’s or PhD in Computer Science,

Our highly technical and talented team, distributed across 25+ geographies all over the world, brings deep technical expertise in system integration & architecture, Linux kernel, graphics, multimedia, web engines and communications to a number of market verticals, including mobile, IVI / automotive,

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. Last year w

As our Product Owner, you’ll be the architect and champion of our product vision. Deep experience in user discovery, product analytics, and agile product development. You’ll lead the charge in discovering user needs, translating insights into product roadmap, and working closely with engineering