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Product Manager (Biometrics) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Product (Biometrics) Location: (WeWork Waterloo) London, UK - Hybrid (1-2 times per week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options (EMI) + iProov Benefits IProov is looking for a Product Manager to join our growing Product & Innovation team to work on our core Biometric product. In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable, lovable solutions. This is a role that involves a large amount of autonomy and ambiguity. In a typical week, you can expect to work closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. • Experience in Product Management in a B2B environment, • Experience in User-centric Design, Mobile Applications, and Machine Learning disciplines are assets, • Experience in identifying and implementing data-backed changes, • Experience in conducting customer/user interviews, • Ability to effectively communicate with various stakeholders, • Exposure to operating within a scale up environment, • A drive to make an impact, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. • Lead the design and evolution of our ML platform, infrastructure and MLOps capability, • Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management, • Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence, • Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management, • Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience, • Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency, • Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases, • Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle, • Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant, • Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle, • Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns, • Mentor engineers and act as a technical leader across ML platform and operations topics, • Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth You will have experience working in high growth, fast paced tech-first environments. You are passionate about building & launching quality products that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. • Proven experience in a senior MLOps, ML Platform, ML Infrastructure, Platform Engineering or Machine Learning Systems role, • Strong hands-on background in software engineering and cloud infrastructure, ideally with direct experience supporting production machine learning environments, • Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring, • Strong knowledge of Python and sound engineering principles, including testing, automation and code quality, • Strong experience with cloud platforms such as GCP, • Experience with Docker, Kubernetes and modern containerised deployment patterns, • Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration, • Experience with tools such as Airflow or similar platform and orchestration technologies, • Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility, • Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving, • Strong appreciation of reliability, security, governance and operational excellence in customer-facing or production-critical systems, • Ability to operate across both strategic and hands-on technical work, • Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves • Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads, • Experience with GPU infrastructure, distributed training or high-performance compute environments, • Familiarity with feature stores, model registries and automated retraining pipelines, • Experience building internal developer platforms or self-service ML tooling, • Experience in regulated, high-security or high-availability environments, • Experience leading or mentoring engineers in a scale-up or high-growth technology business, • Familiarity with responsible AI, model governance or risk controls in production ML setting, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Helping others improve and turn their lives around – there’s no better feeling. It’s what we do for thousands of people at more than 150 sites across the UK. Be a part of it. Job Title: CAMHS Consultant Psychiatrist & CAMHS Clinical and Safeguarding Lead Service & location: Cygnet Hospital Bury Forestwood, Bury Professionally Accountable to: Regional Medical Director Managerially Responsible to: Hospital Manager Salary: Up to £180,000 per year + £16,000 per year for CAMHS Clinical and Safeguarding Lead We are seeking an experienced full‑time CAMHS Consultant Psychiatrist who will work at Cygnet Hospital Bury Forestwood and provide senior medical cover on Mulberry ward, our 12 bedded CAMHS Intensive Support service for young people who require inpatient care within a robust and therapeutic setting. The service delivers tailored treatment packages in a safe, age‑appropriate environment to reduce the risk of harm to self and others by improving their mental health. The post holder will be the Responsible Clinician and will oversee and maintain the care of all ward inpatients as required and will also have responsibility for auditing the medical services rendered at the ward and ensuring their good quality in accordance to GMC standards of good medical practice and other relevant professional guidelines. Apart from being the Responsible Clinician at Mulberry Ward, you will also be the CAMHS Clinical & Safeguarding Lead for Cygnet Group In this role, your expertise will be the driving force for life‑changing treatment fully supported by a Specialty Doctor and first‑class multidisciplinary team including qualified nurses, psychologist and occupational therapist. At Cygnet, you’ll enjoy excellent professional development, shopping, travel and leisure discounts – as well as a range of healthcare and financial benefits – to support you to be happy both in and out of work. Apply now to enjoy excellent career prospects while reaping the rewards of making a difference to others – every day. • Lead on the provision of high quality care to the service users admitted to Mulberry Ward, • Act as a positive role model, maintaining and demonstrating a positive attitude towards patients, their families, visitors and other staff., • Take overall responsibility for patient treatment plans in conjunction with the multi-disciplinary team, • Assess referrals & undertake mental state examinations of service users, • Undertake appropriate investigations, diagnosis & treatment, • Conduct ward rounds, patient reviews & clinical audits, • Lead the implementation of risk assessment, risk management & embed clinical governance within the service, • Supervise reports for Mental Health Act tribunals & managers’ hearings & attend hearings, • Liaise with the Ministry of Justice for transfer of patients and approval of leave as required, • Good maintenance of patient records, • To ensure and maintain regular communications with the Site Medical Director and Hospital Manager, • To communicate effectively through regular contact with patients, relatives, staff, directors, and any other concerned bodies; maintaining appropriate reports., • Attend and contribute to academic meetings and adhere to the professional standards for CPD as set out by the GMC, the Department of Health and the Royal College of Psychiatrists., • Contribute to Telephone On call rota (Dependent on the needs of the region), • Salary up to £180,000 per year for Consultant Psychiatrist (Depending on experience), • Additional £16,000 per year for CAMHS Clinical and Safeguarding Lead option, • Generous annual leave entitlement that increases with length of service, • 5 days study leave, study budget and in‑house CPD/ peer group programme, • Company paid Life Assurance scheme covering 3x salary, • Contributory pension scheme, • Research opportunities to include publishing in The Cygnet Journal (Cygnet’s co‑produced peer review journal) and joining the Cygnet Research & Development Group, • Teaching opportunities including teaching medical students, teaching on the Cygnet CESR programme and Cygnet MRCPsych programme, • Opportunity to lead and participate in QI & Audit initiatives, • Company Funded Cash plan with the ability to claim up to £1,000 per annum worth of benefits including free Physiotherapy, Osteopaths, Optical, dental, consultations, scans and free prescriptions, • Gym Discounts across the UK as well as free online fitness classes with ClassPass, Nutritional Programmes and Fitness Consultations, • Discount schemes including Reward Gateway, NHS Discount and Blue Lights Card, • Free meals, on‑site parking and EAP support, • Smart Health Toolkit, including 24 hour GP service with the option of prescription delivery to your local pharmacy, • Electric Car Scheme, • Fully GMC registered & MBBS (or equivalent) qualified, • Registered on the specialist register (CCT/CESR), Section 12 and AC Status, • Experienced & knowledgeable in Child and Adolescent Psychiatry, • Knowledgeable of the Mental Health Act and Code of Practice, along with the Mental Capacity Act 2005 and Code of Capacity, • A first‑rate communicator who can interview, assess & treat patients & write clear, comprehensive medical notes, • Committed to continued professional development, • Able to work as part of a multi‑disciplinary team, • A member of the Royal College of Psychiatrists (MRCPsych) or equivalent Cygnet has been providing a national network of high‑quality specialist mental health services for more than 30 years. We have built a reputation for delivering pioneering services and outstanding outcomes. Our expert care enables thousands of individuals to consistently make a positive difference to their lives. The successful candidate will be required to undergo an enhanced DBS and reference check and an offer of employment will be subject to successful clearance. #J-18808-Ljbffr

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About the job Mercor connects elite creative and technical talent with leading AI research labs.Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey.Position: Psychology Expert Type: Contract Compensation:

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