Jobs in United Kingdom

Assistant Manager Biomedical Engineering in United Kingdom

35 active opportunities · Updated October 2026

Explore current assistant manager biomedical engineering jobs across United Kingdom. Filter by work mode, employment type, experience, department, date posted and distance.

TI
📍 Northwich, Northwich, United Kingdom· Full-time
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About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: German - Customer Service Advisor Contract: 3 - 6 months (Dependant on business requirements) Location: Remote (UK Based) Shifts - Working a shift rotation between the hours of 8am-8pm with a 1 in 3 weekend. Start Date - 26th October As a customer service advisor, you’ll be the first point of contact for our valued customers, assisting with a wide range of inquiries – from product advise to resolving order issues. You’ll engage with customers across various communication channels, including live chat, phone, email and social media, ensuring that every interaction reflects our commitment to outstanding service. Key Responsibilities: Working across multiple channels including emails, phones, live chat and social media. Work towards achievable department targets while maintaining high level quality at each point of contact. Engaging with customers daily in a polite, professional manner. Assisting customer with all queries regarding product advise and general customer service queries. Collaborate with team members and different departments to enhance overall customer service. Utilise ongoing training to deepen product knowledge and deliver top-notch service . Role Requirements: Strong written and verbal communication skills in both English & German Willingness to learn and develop new skills A professional, friendly and hard-working individual. Early promise

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TI
📍 Northwich, Northwich, United Kingdom· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: Fixed Term - Customer Service Advisor Contract: 3 - 6 months (Dependant on business requirements) Location: Gadbrook Park, Northwich (Office Based) Shifts - Working 1pm-9pm or 3pm-11pm Start Date - 2nd November or 9th November As a customer service advisor, you’ll be the first point of contact for our valued customers, assisting with a wide range of inquiries – from product advise to resolving order issues. You’ll engage with customers across various communication channels, including live chat, phone, email and social media, ensuring that every interaction reflects our commitment to outstanding service. Key Responsibilities: Working across multiple channels including emails, phones, live chat and social media. Work towards achievable department targets while maintaining high level quality at each point of contact. Engaging with customers daily in a polite, professional manner. Assisting customer with all queries regarding product advise and general customer service queries. Collaborate with team members and different departments to enhance overall customer service. Utilise ongoing training to deepen product knowledge and deliver top-notch service . Role Requirements: Strong written and verbal communication skills Willingness to learn and develop new skills A professional, friendly and hard-working individual. Early promise of showing our core values – Show up,

GitAIGoRecruitment
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 London, Greater London, United Kingdom· Full-time
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About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deplo

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📍 London, Europe, United Kingdom· Full-time
✓ Quality checkedCompany trend -100%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Philippines (APAC region) About the role As a Customer Support Associate (CSA) you will act as the frontline key person, responsible for providing support and assistance to customers who have inquiries or issues with our product or services. The role: Respond to customer inquiries via email, chat, or social media in a timely and professional manner Provide accurate information and support to customers to resolve their issues Identify and escalate complex issues to Tier 2 support when necessary Collaborate with other teams such as technical support specialists, support product specialists, and leadership to resolve customer issues Record and maintain accurate customer information within our CRM systems (Intercom & Salesforce) Meet individual and team performance metrics (KPI’s) such as first response times, first contact resolution rates, and customer satisfaction Continuously improve your own product knowledge and remain up to date with our product, services and processes Provide constructive feedback to the business and leadership team to improve customer support processes and procedures About you : Based in the Philippines High school diploma or equivalent; college or a degree in a related field

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 London, Greater London, United Kingdom· Full-time
✓ Quality checkedCompany trend -100%

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

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