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Heart Mind Talent is proud to partner with a cybersecurity startup that has just raised $31M in a Series A. The team is building an AI-native platform that helps security teams investigate, triage, and remediate vulnerabilities faster using LLMs and autonomous agents. The Role You’ll be the strategic owner of an AI-powered vulnerability management product, accountable for ARR growth and POC conversion. This is an early hire with broad scope: define the vision, validate with customers, partner deeply with engineering, and bring zero-to-one capabilities to market. What You’ll Do • Own product strategy & roadmap for an agentic vulnerability management platform; prioritize use cases that drive measurable revenue and customer value., • Partner with engineering as true collaborators in discovery and delivery—enable research and iteration, not just handoffs., • Ship zero-to-one: take concepts from idea to GA, establishing product-market fit through customer validation and usage metrics., • Act as product marketer: craft positioning, write technical content, and enable sales with crisp narratives and collateral., • Stay customer-obsessed: conduct research, pressure-test hypotheses, and translate workflows into clear requirements., • Make commercial calls: say no when needed; optimize for ARR, POC success rates, and adoption over output., • Communicate technical depth: bridge AI agent capabilities and security workflows for both engineers and customers. What You’ll Bring • Security domain expertise (must-have): hands-on familiarity with vulnerability management, risk assessment, EDR/NDR, cloud security, or adjacent areas., • 4–7 years in product management with shipped products that moved business metrics., • Technical fluency across CI/CD, testing, developer workflows, and cloud infrastructure to collaborate effectively with engineers., • Zero-to-one experience taking new products/features from concept to launch in ambiguous environments., • Commercial mindset: set success metrics (e.g., POC conversion, ARR impact) and measure outcomes objectively., • Collaborative leadership: partner-model with engineering—autonomy with clear priorities., • Startup velocity: zoom between strategy and execution without losing the thread., • Customer obsession: genuine curiosity for security workflows and pain points. Nice to Have • Experience at security product companies (vuln management, risk platforms, detection)., • Background as a backend/infrastructure engineer turned PM., • Product marketing or technical content track record., • AI/ML or agent-based systems experience., • Exposure to ServiceNow/CMDB or operational security tooling. Why Join • Ambitious problem space: apply LLMs and agents to high-impact cybersecurity challenges., • Expert team: builders from Big Tech and scale-ups with multiple exits and an IPO., • Real-world impact: help defenders prevent breaches at scale., • AI-native build: shape product strategy and foundations in the AI era., • Leadership growth: close partnership with founders, significant equity, and the chance to own product as we scale.

Company Description The Anthro joint venture between___s and___g will provide comprehensive turn-key services for London’s state-of-the-art HS2 gateway station at Old Oak Common. We have been awarded a multi-year contract to deliver MEPHFC (Mechanical, Electrical Public Health, Fire and Communications) systems works .The role is hybrid and you will be required to attend site in Acton (West London) 3 days a week . Job Descripti on The Timesheet Cost Assistant is a key member of the finance and accounting team, responsible for the accurate and timely collection, validation, and processing of employee timesheet data. This role is crucial for ensuring that labour costs are correctly assigned to specific projects, jobs, or departments for financial reporting, billing, and analysis purposes. The Timesheet Cost Assistant works closely with project managers, employees, and the payroll department to maintain data integrity and support cost-related decision-maki ng. Key Responsibilit • curateAccurately input weekly timesheet data for project Labour into the company's financial and project management software. Verify timesheet entries against gate entry records and established company policies, project codes, and approval wor, • kflowsIdentify and resolve any discrepancies or issues with timesheet submissions in a timely manner by communicating with employees and their super, • visorsEnsure all billable and non-billable hours, overtime, and leave are recorded cor, • processAssist in the preparation of forecasting for employees based on timesheet trending for project and company’s payment application, • processAssist in the preparation of monthly accruals for all employee costs for financial r, • urs/costs)Generate weekly timesheet summary data and distribute to project managers and department heads to support accurate timesheet recording in line with project, • guidelinesAssist with the analysis of project compliance with contract policies and manage the derogati, • cost queriesCollaborate with the Payroll department to ensure a seamless and accurate payroll run based on timesheet dat, • a for LabourCommunicate with Project Managers to understand project requirements and ensure timesheet data aligns with pr, • audit purposesAssist in month-end and year-end closing procedures as they relate to labour cost accruals, • and reportingStay informed of company policies and procedures related to timekeeping * Qualifications Education: A-levels, BTEC, or equivalent qualification. A degree or pursuing a degree in Accounting, Finance, or a related • field is a plusExperience: Previous experience in an administrative, or accounting support role in a construction project, particularly with a focus on timesheets or data ent, • ry is a, • dvisable.Skills:Numerical and Analytical Skills: Exceptional attention to detail and a high de, • gree of accuracyIT Proficiency: Advanced knowledge of Microsoft Excel (e.g., XLOOKUP, pivot tables) and experience with timesheet or accounting software (e, • .g., Asite, SAP)Communication: Excellent verbal and written communication skills to effectively liaise with various tea, • ms and employeesOrganizational Skills: Strong ability to manage multiple tasks, prioritise, and meet, • tight deadlinesProblem-Solving: Proactive and capable of identifying and resolving dat, • a discrepancies.Integrity: A high level of integrity and discretion when handling sensitive financial and empl oyee information Addit ional information We are commit ted to our planet:In each project we design, engineer and operate we care deeply about the legacy we’re leaving behind. As part of our team, you’ll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe.Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. Diversi ty & Inclusion:We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one’s contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement, combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities • Design, build, and deploy machine learning models and AI-driven solutions to address business challenges., • Collaborate with data scientists to transition prototypes into production-ready systems., • Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment., • Optimise model performance, scalability, and reliability using MLOps best practices., • Work with large-scale structured and unstructured datasets for model training and validation., • Implement model monitoring, versioning, and retraining processes to ensure continuous improvement., • Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments., • Proven experience (3–5+ years) as a Machine Learning Engineer, Data Scientist, or similar role., • Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy)., • Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures., • Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms., • Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration., • Knowledge of containerization and orchestration tools (Docker, Kubernetes)., • Experience integrating ML models into production environments via APIs or microservices., • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field., • Familiarity with CI/CD pipelines for ML model deployment., • Exposure to natural language processing (NLP), computer vision, or reinforcement learning projects., • Location: Hybrid – London (onsite 2–3 days per week), • Type: Day-rate contract (Outside/Inside IR35 subject to assessment), • Duration: 6–12 months (extension likely), • Work with a talented, cross-functional AI and data engineering team., • Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment., • Hybrid flexibility with a strong London presence.

#OneTeam In the Enterprise Product Growth team, the Sales Specialist is responsible for selling solutions in one of the following specific domains: Bare Metal. The Sales Specialist drives the adoption of existing and new products, plays a pivotal role at the intersection of sales, product, and customer success. The main mission is to accelerate revenue growth by enabling the broader sales organization, supporting complex deals, and acting as a feedback conduit to the product team for continuous improvement and innovation. Your main responsabilities • Being able to sell OVHcloud Private Cloud Bare Metal to all our Enterprise customers., • Identify, qualify, and pursue high-potential opportunities for new/important products within existing accounts and new prospects., • Being able to handle the complete sales cycle from the first discovery meetings to the closing with the customer., • Work in very close cooperation with the account team, the partner account team and the pre-sales team or solutions architect if needed., • Manage and maintain a robust and accurate pipeline and forecast., • Gather and synthesize customer feedback, objections, and use cases to refine messaging and improve product-market fit., • Serve as the "voice of the customer" to the product organization (CPTO), relaying actionable feedback, feature requests, and market insights., • Participate in product roadmap discussions, helping to prioritize enhancements and influence development based on real-world customer needs., • Share qualitative insights to help product teams validate and iterate on new features., • Ensure alignment between sales goals and product capabilities, setting realistic expectations with customers and internal stakeholders., • Organize Sales campaigns for up & cross-sell on existing customers base but also on prospects base., • Help product teams understand the competitive landscape and evolving customer requirements, contributing to a customer-centric innovation process., • Work closely with our Tech partners, by building sales development action plan (prospects & customers to target, common event and animation), develop and follow common pipeline. Your future impact In 6 months, you will have achieved • Perfect knowledge of our Bare Metal solutions and act as subject-matter expert, • Identify, qualify, and pursue high-potential opportunities on prospects (on an incoming lead), • Support account management teams on “your” products. Lead or support customer engagements, including discovery calls, needs assessments, product demonstrations, and solution validation for new offerings., • Identification of all the key stakeholders (Sales, Product Manager, Product Marketing…) on “your” Bare Metal product., • Be able to enable the Sales broader sales organization, supporting complex deals, and acting as a feedback conduit to the product team for continuous improvement and innovation In 1 year, you will have mastered • Create customer trust, able to build a complete offer for the customer, • Partner with account teams to define target segments, create go-to-market strategies, and execute focused sales campaigns., • Define and follow the success’s KPI and OKR on “your” product (in line with budget), • Track pipeline, forecast sales, and ensure targets for your product line are met or exceeded., • Know the market and ecosystem (go to market & segmentation) + know the OVHcloud’s ecosystem including Partner Program Profile • At least 5 years of experience in a similar role, • Engineer profile with strong technical background, • Deep technical and commercial understanding of cloud products (especially OVHcloud Bare Metal Servers), • Deep and extensive knowledge of the solution market positioning, the competitors, and the entire eco-system, • Excellent communication, presentation, and relationship-building skills., • Ability to translate customer needs into product requirements and articulate value propositions, • Proven track record in sales, especially with new or complex solutions, • Team working with all parties involved on a specific deal, • Able to work in a multi-cultural and fast paced environment, • Fluent in French & English

Packaging Engineer – EMEA - Based in Greater London We’re looking for a Packaging Engineer to support packaging development and validation across the EMEA region. Drive sustainability and value engineering initiatives.

Overview The Manufacturing Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team.

As a C2 Validation and Verification Engineer you'll support product development for the C2 system. Systems design/ systems engineering experience in software based equipment.

We are looking for a Trials, Integration and System Validation Engineer to join the Trials, Integration and Systems Validation team on the FCASW project. System of Systems integration trials. Automated System Verification and Analysis.

Degree level qualification (or equivalent experience) in a relevant STEM subject (Engineering/ Physics/ Maths/ Science) Knowledge of the system engineering lifecycle with the ability to apply good systems engineering practices to your work Ability to collaborate effectively with a wide range of tech

We are looking for experience in: Systems Integration; System Qualification and Proving; Naval Integration; System Assessment and Acceptance; Software Test; Network Integration and Proving; Automated System Verification and Analysis. We are looking for a Trials, Integration and System Validation Eng

Vibration Test Engineer Location: South West (On-site, 5 days/week) Employment Type:. Space, Test & Validation Join a cutting-edge space programme supporting critical testing and validation activities in a high-spec commercial environment. Translate test procedures and technical specifications into

The Role: Develop test plans, conduct physical testing (such as dropping them from heights) and validation of products and prototypes, write up test reports Full training and development given £35,000 to £45,000 per annum, dependant on experience 39hrs, 8:00am to 4:00pm Benefits - Monthly & yearly

Oversee tooling validation and qualification model builds. Senior Mechanical Design Engineer (CAD Tooling). This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver excepti

Principal Power Systems Electrical Engineer. As part of the Electrical Verification Team, you will be involved in the verification and validation of the power system, conducting analysis, and performing calculations to support the maturity and design of the electrical platform. Degree qualified or e

Senior Optoelectronics engineer Location: London (Hybrid) Salary: £60,000 – £80,000 + Benefits Visa & Relocation: Support available for qualified candidates This role would suit en electronics or optical engineer with experience of highspeed fibreoptic network electronics integration, test and validation. This is an exciting and new opportunity to join a start-up involved with the research, development and design of optical / photonic technologies. Their technologies are designed to radically improve network speed and energy efficiency of AI / ML applications. This role involves the test, prototyping, characterization and validation of their ultra-fast optical hardware products. As a Senior Optoelectronics engineer / Senior Electronics Systems Engineer, you’ll take an active, hands-on role in lab-based experimentation, hardware integration, and system-level validation. Working closely with multidisciplinary design teams, you’ll bring together advanced electronics (SoC / high speed boards) and optical technologies, helping to move products from prototype to production readiness. Typical involvements - Senior Optoelectronics engineer / Hardware Validation Engineer * Integrate and test very high-speed optical and electronic hardware systems * Assess optical transmission and network performance for short-reach AI Networked Systems * Develop and execute test plans for high-speed optical transceivers across the full product lifecycle (prototype, validation, production). * Perform electrical and optical characterisation of transceivers, specifically in burst-mode Tx/Rx testing. * Analyse test data to identify performance margins, failure modes, and opportunities for design/manufacturing improvements. * Optimise receiver performance through equalisation tuning (CTLE, DFE, FFE) and characterise link margins. * Design and execute automated test and characterisation routines for prototypes and NPI systems. * Analyse and optimise system-level performance across electrical and optical domains. Candidates should be collaborative, analytical, and hands-on approach to solving complex engineering challenges Skills / Knowledge Required: Senior Optoelectronics engineer/ Hardware Validation Engineer * MSc or PhD degree in optical communications, photonics, physics, electronics engineering or other relevant areas * Proven experience working in industry on similar high-speed electronics / optical systems (e.g. >50 Ghz : >10Gbps) * Strong background in optical / photonic or high-speed electronic system testing, validation, or integration. * Understanding of signal integrity, high-speed PCB design considerations, and packaging impacts on performance. * Experience with fibre-optic communication systems testing (OLT, ONT, PON) and integration. * Expertise in burst-mode transceiver characterisation. * Solid understanding of equalisation techniques (CTLE, FFE, DFE) for improving high-speed link performance. * Proficiency in using high-speed measurement instruments (e.g., sampling oscilloscopes, BERTs, burst-mode analysers). * Familiarity with optical components (lasers, photodiodes, burst-mode APDs/TIAs, modulators) and transceiver architectures. Others (beneficial): Senior Optoelectronics engineer * Strong hands-on experience in optical / photonic communication systems development and testing, ideally at 100Gbps and above. * Experience with automated test systems and scripting (e.g., Python, Matlab, C++, C#). * A strong and demonstrable interest in sustainable technologies, AI, ML and / or HPC would be preferred. This is a great opportunity to join a highly technical team driving innovation in next-generation AI / ML networking hardware. The Senior Optoelectronics engineer / hardware validation engineer opening is based in central London (hybrid). Assistance can be granted to obtain working visas

Knowledge of Design Proving, Design Verification, System Integration and System Acceptance would be highly beneficial. This is a great opportunity to become a member of an expanding team delivering key aspects of the latest generation of GBAD system programmes and interfacing with the end Customer a

Degree/HND/HNC or equivalent experience in IVVTQA/ITEA for Systems Engineering/Software Engineering or Control Systems Engineering. Lead/supervise V&V engineers output as required for scoped work package delivery. Experience supervising, coaching and guiding junior engineers.

As PV engineer, this person will be responsible for product validation [quality engineering]: developing and running of regression suites to verify the functionality and performance of JedAI. Job Title: Lead Product Validation Engineer. Reports to: Software Engineering Group Director.

We are seeking a NiCE Portfolio Sales Engineer that will lead the functional and technical sales process with a coordinated focus on solutions development across NiCE’s portfolio through discovery and requirements gathering, validation and demonstration. The Portfolio Sales Engineer must be able t

We are seeking a NiCE Portfolio Sales Engineer that will lead the functional and technical sales process with a coordinated focus on solutions development across NiCE’s portfolio through discovery and requirements gathering, validation and demonstration. The Portfolio Sales Engineer must be able t

Strong experience in ML model development and neural networks, possibly with a research focus. Experience in training, validation, and evaluation of deep neural network models on large datasets. Senior Machine Learning Engineer - Model Development at Sony Interactive Entertainment.