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Director of Strategy & Architecture | Stevenage | £150,000 + car allowance & bonus | Hybrid - 1 day a weekYour new companyI am working on behalf of a large, privately-owned infrastructure services organisation that plays a critical role in delivering essential services across the UK. Operating at scale, the business supports a workforce of over 10,000 people and is embedded across sectors including energy, water, transport and telecommunications. The organisation is at a pivotal point in its evolution. Having established a strong operational footprint, it is now accelerating its focus on group-wide transformation, investing heavily in its technology landscape, operating model, and long-term strategic capabilities. This is not a business maintaining the status quo; it is one actively reimagining how it operates, how it leverages technology, and how it positions itself for future growth. Technology is central to that ambition. The business is in the process of defining and building a new target operating model, working in partnership with external specialists to establish the right foundations for scale, integration, and innovation. There is a clear mandate to move beyond fragmented legacy environments towards a more cohesive, forward-looking architecture, one that enables better decision-making, drives efficiency, and supports the increasing use of data and emerging technologies across the group. Your new roleThis is a high-impact leadership role for an individual who can build architectural capability in an environment that is evolving quickly and investing seriously in its future technology landscape. The remit is not simply to govern architecture in the traditional sense, but to establish the foundations, create the right level of discipline and ensure that technology strategy develops in a way that supports long-term business growth. At its core, the role is about creating a structure where greater maturity is needed. The successful individual will be responsible for defining architecture principles, standards and roadmaps, while also remaining close enough to delivery to modernise systems, address capability gaps, and improve integration and automation across the estate. It is a position for someone who can operate strategically, but who is equally comfortable being hands-on when required. The broader mandate is to create an environment that can support scalable growth. That means making sure technology decisions are not just right for today, but will stand up to the demands of tomorrow, all while balancing an active change agenda and helping shape a more cohesive future state. Data, AI and emerging technologies are expected to play an increasingly important role in that journey, so this will suit someone who understands how to use architecture as an enabler of competitive advantage rather than simply a control function. From a profile perspective, this is likely to appeal to an experienced enterprise architecture leader who has worked in a complex or rapidly scaling organisation and has a track record of putting proper frameworks in place in environments where standards, governance or maturity have previously been inconsistent. The role requires broad architectural depth across applications, data, infrastructure, integration, cloud, security and AI/ML, alongside the judgement to know where to prioritise effort for the greatest commercial impact. What makes the opportunity particularly attractive is that it offers genuine scope to shape rather than inherit. The wider function is still being built, the target operating model is still evolving and there is clear appetite for somebody who can help define how architecture should support transformation at group level. For the right individual, this is an opportunity to leave a visible mark on the direction, maturity and effectiveness of a large and operationally important business.What you'll need to succeedThe successful individual is likely to be operating currently as a Head of Enterprise Architecture, Chief Architect or in a comparable group-level role within a complex or rapidly scaling organisation. You will bring a proven track record of establishing architecture frameworks in environments where governance, standards and consistency have historically been less defined and will be comfortable setting direction while building capability around them. From a technical standpoint, you'll bring broad, cross-domain expertise. This includes strong understanding across applications, data, infrastructure, integration, cloud and security, alongside a working appreciation of AI and machine learning and how these can be applied in a practical business context. Experience working with data platforms and analytics, coupled with an understanding of data governance, will be key in helping the organisation move towards a more insight-driven, future-ready operating model. There is also an expectation of formal grounding. You'll hold a degree in a relevant discipline such as Information Technology, Computer Science or Business Administration, alongside recognised enterprise architecture framework knowledge (TOGAF) and exposure to cloud environments such as Microsoft Azure. However, style and approach are equally important in this environment. The role requires someone who can translate architecture into clear, commercially relevant language, influencing senior stakeholders and bringing alignment across diverse parts of the business. The right person will be pragmatic, delivery-oriented and able to balance long-term ambition with the realities of an evolving organisation and active change agenda. Ultimately, this will suit an individual who is comfortable operating in ambiguity, who can bring structure without over-engineering, and who takes a hands-on approach to driving progress. Someone who can set a clear architectural vision, but just as importantly, ensure it is implemented in a way that delivers tangible outcomes for the business. What you'll get in return • Company car (or allowance) and fuel card with a range of EV and hybrid vehicles to choose from, • Private health care and health care cash plan for you (and your family), • Discretionary bonus scheme, • 25 days annual leave plus bank holidays, • Matched or contributory pension scheme What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or contact If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Product Manager Are you passionate about IP camera innovation, certified equipment, and delivering exceptional product experiences? We're looking for a Product Manager to lead the strategic development and lifecycle management of a cutting-edge IP camera portfolio. Responsibilities: • Own the roadmap and vision for IP and certified cameras, • Drive innovation, with a focus on video analytics and AI integration, • Navigate certification and compliance across global markets, • Collaborate across engineering, sales, marketing, and support teams, • Lead customer research and analyse performance data to guide product enhancements, • Be the internal and external expert on your product line Skills and Experience: • Proven experience in product management for IP cameras and certified/hazardous area surveillance products, • Deep technical knowledge of IP camera tech, thermal imaging, networking, and software development processes, • Strong understanding of certification standards (ATEX, IECEx, etc.), • Bachelor's degree in Computer Science, Engineering, IT, or related field, • Familiarity with Agile/Scrum methodologies, • Excellent analytical, communication, and leadership skills Key Attributes: • Customer-focused and detail-oriented, • Innovative and adaptable, • Strong collaborator with a proactive mindset Benefits: • Car Allowance, • Flexible working, • Bonus Interested? Please Click Apply Now! Product Manager - Sheffield

As a member of the ShipBob Team, you will... • Grow with an Ownership Mindset: We champion continuous learning and proactive innovation. Team members are encouraged to identify challenges and take ownership of initiatives that drive merchant, company and personal growth. By tackling complex problems and exploring creative solutions, you won’t just follow a playbook, you’ll be actively building the future of ShipBob., • Collaborate with Peers and Leaders Alike: ShipBob values collaboration and support, where team members and leaders alike are committed to helping each other succeed. We all set high standards and understand the importance of transparency at all levels. We’ve created an environment where trust, open communication, and mutual respect motivate our teams to reach new heights., • Experience a High-Performance Culture and Clear Purpose: Our commitment to delivering results creates a goal-driven, high-performance culture where everyone is empowered to contribute to our mission with a clear understanding of their direct impact and accountability. We measure success in tangible ways, allowing each team member to see the positive outcomes of their work and celebrate shared victories. Location: Remote in London, UK Role Description: We are expanding our amazing sales team in the UK and looking for rising stars to build that team with us. This is a unique opportunity to take a proven and scalable business model and further roll it out in the UK. Our award winning technology stack, rock solid fulfillment operations and ShipBob brand name will help generate leads. We are looking for Account Executives willing to work in a start-up environment, be self-driven, identify exciting new customers and work autonomously in a frictionless environment to reach the rewarding quota. As one of the early joiners in a high growth organization and in a high growth market there will be opportunities to grow with ShipBob. Of course, there will be gaps in learning, processes to be established, and market nuances to learn, so the successful candidate must have a high appetite to learn, improvise and develop. Don’t panic though, the role will be heavily supported by the team that rolled out 7,000 other clients and opened 35 fulfillment centers. What you’ll do: • Bring in new business to attain revenue targets using self-sourcing techniques., • Self-source prospects who will convert to customers using internal databases, creative online searches, self-created cadences and marketing campaigns, referrals and other means., • Qualify prospects and sell ShipBob’s value propositions to bring in new business that is operationally fit for ShipBob., • Connect with potential customers, both self-sourced and pre-vetted by the Business Development or Partnerships team, to determine a mutual fit., • Move customers efficiently through the sales process, ensuring all expectations are properly set and understood., • Negotiate pricing, contract terms and general partnership agreements., • Have a thorough understanding of both our tech offerings and Operational capabilities., • Maintain an updated, clean and thorough pipeline to ensure proper forecasting as well as up to date CRM notes so account status is clear., • Give feedback to management to continue to improve the sales process and Merchant experience., • Ensure proper handoff to the post sales team., • Identify local nuances and help improve processes, tools and documentation., • Additional duties and responsibilities as necessary. What you’ll bring to the table: • At least 18 months as an Account Executive or Sales Representative in the eCommerce fulfillment or OMS/WMS/TMS tech space., • Ability to foster great teamwork and motivate those around you., • Excellent verbal and written communication skills., • Organization and time management skills., • Established track record of success in a Sales position., • Ability to understand client needs and handle the negotiation process., • Computer skills, especially MS Excel and CRM software. Perks & Benefits: • Medical and Wellness Benefits, • Life Assurance, • Income Protection, • Pension Scheme, • See Our High-Performing Culture >>> (@lifeatshipbob) We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions. About You: The work we do at ShipBob is both challenging and rigorous, which means our environment isn’t the right fit for everyone, and that’s okay. We welcome energetic high performers who thrive in a dynamic, collaborative, results-driven environment. We value individuals who embrace accountability and humility, push boundaries, and are motivated by challenging work. Every team member, no matter their role or tenure, is expected to roll up their sleeves and tackle the complex problems we face in today’s global supply chain. Learn more about our core values and how we perform at a high level in our day-to-day work on our Culture page (_). About Us: ShipBob is a leading global supply chain and fulfillment technology platform designed for SMB and Mid-Market ecommerce merchants to provide them access to best-in-class capabilities and to deliver a delightful shopper experience. Merchants can outsource their entire fulfillment operations, utilize ShipBob’s proprietary warehouse management system for in-house fulfillment, or take advantage of a hybrid solution across ShipBob’s dozens of fulfillment center network in the United States, Canada, United Kingdom, Europe, and Australia. ShipBob is backed by leading investors like Menlo Ventures, Bain Capital Ventures, Hyde Park Venture Partners, and SoftBank Vision Fund 2, and is one of the fastest-growing tech companies headquartered in Chicago. ShipBob provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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 _

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations. Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex AI concepts into user-friendly applications. Strong analytical skills and experience leveraging data to drive product decisions. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Product Manager - IP/COEX Are you passionate about IP camera innovation, certified equipment, and delivering exceptional product experiences? We're looking for a Product Manager to lead the strategic development and lifecycle management of a cutting-edge IP camera portfolio. Responsibilities: • Own the roadmap and vision for IP and certified cameras, • Drive innovation, with a focus on video analytics and AI integration, • Navigate certification and compliance across global markets, • Collaborate across engineering, sales, marketing, and support teams, • Lead customer research and analyse performance data to guide product enhancements, • Be the internal and external expert on your product line Skills and Experience: • Proven experience in product management for IP cameras and certified/hazardous area surveillance products, • Deep technical knowledge of IP camera tech, thermal imaging, networking, and software development processes, • Strong understanding of certification standards (ATEX, IECEx, etc.), • Bachelor's degree in Computer Science, Engineering, IT, or related field, • Familiarity with Agile/Scrum methodologies, • Excellent analytical, communication, and leadership skills Key Attributes: • Customer-focused and detail-oriented, • Innovative and adaptable, • Strong collaborator with a proactive mindset Benefits: • Car Allowance, • Flexible working, • Bonus Interested? Please Click Apply Now! Product Manager - Sheffield

Job Title: AI Engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production. Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics. Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions. Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications. Drive data strategy, including data collection, preprocessing, and feature engineering. Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments. Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases). Deep understanding of neural networks, reinforcement learning, and generative models. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices. Soft Skills: Excellent problem-solving, communication, and leadership abilities.

.NET Support Developer - Birmingham (Tech stack: .NET Support Developer, C#, SQL Server, Windows, Programmer, Full Stack Engineer, Architect, .NET Support Developer, Urgent) Be the first of your friends to declare, "I love where I work!" and actually mean it. Laugh hard and work hard with some of the best and brightest in the tech industry. Our client has created the world's first marketplace for live experiences by developing the technology that lets anyone create, share and find new things to do. Currently 180 countries host events using their platform, with over 1.5 million events taking place every year and 5 million tickets being processed every month! They are looking for .NET Support Developer to help them support their set of products. They have been extremely picky about assembling a team of smart, humble people who are passionate about supporting amazing products. The ideal .NET Support Developer candidates should have strong experience with: .NET, C#, SQL Server and Windows. Their benefits include the following: • Bonus (15%)., • Generous stock option plan., • Medical, dental and vision insurance., • Company pension., • Choice of computer and gear., • All the coffee delivered to your desk you can order!, • Snack filled kitchen., • Awesome work environment at a company with a huge vision., • Killer office with an onsite gym and games room! Location: Birmingham, UK Salary: £50,000 - £60,000 + Bonus + Pension + Benefits Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC

Keywords: Applied Optics, Physicist, Computer Vision, Opto-electronics, Machine Vision Systems, Simulations, VIS / NIR / FIR, Monitoring / Tracking, Military Applications, Onsite Another top job from ECM, the high-tech recruitment experts. PhD / Postdoc (or equivalent) with advanced development know

Machine Learning Engineer – Computer Vision. This role will play a key part in developing advanced computer vision capabilities including scene understanding, object detection, tracking, and 3D reconstruction from edge‑deployed sensors. You will work closely with product and backend engineering

You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role. Experience developing computer vision models using tech

PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. We are looking for a Computer Vision Research Engineer to join our Research Team in London. You will work alongside world‑class researchers in computer vision, machine learning,

Candidates should have a first-class honours degree in a related discipline, over 3 years of machine learning engineering experience, and strong skills in Python and computer vision techniques. The role involves designing and building production-grade ML models with a focus on computer vision applic

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Platform Recruitment is seeking a Machine Learning Engineer (Computer Vision) in Oxford, offering a salary of up to £160,000 depending on experience. The ideal candidate will have a strong technical background and experience in designing, training, and deploying computer vision models while working

Platform Recruitment is seeking a Machine Learning Engineer specializing in Computer Vision to join a dynamic engineering team in Cambridge.

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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.We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new tale

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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.We are looking for a confident.Due to the genuine occupational need, we are only able to accept female applicants for this role.This is ou

Joining a dedicated team, you’ll enable our client to achieve their vision and make a difference to countless lives across Surrey.

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We are currently recruiting experienced and compassionate Residential Child Support Workers to join our growing agency team supporting children and young people across residential childrens homes and supported accommodation settings.This is a rewarding opportunity for individuals passionate about ma