Learning curve jobs in United Kingdom

Product Engineer (Data / Platform / Applied AI) Location: London (hybrid 3 days onsite) The Opportunity We’re partnering with a rapidly scaling, venture-backed technology startup building a next-generation enterprise data and AI platform. They’re looking for a Product Engineer who thrives at the intersection of product thinking, data engineering, and applied AI. This role is ideal for someone excited about turning real-world complexity into reusable, configurable platform capabilities — enabling enterprise customers to deploy powerful solutions without bespoke engineering every time. In a world where competitive advantage is driven by adaptable platforms rather than one-off implementations, you’ll help lay the technical foundations that allow the product to scale across industries, geographies, and operating models. About the Company The company is developing a category-defining Strategy & Decision Intelligence platform that unifies internal and external data into a single, intelligent system. It enables large enterprises — including global industrial and Fortune 500 organisations — to make clearer, faster, and more durable strategic decisions. Founded by experienced technology and business leaders, the company launched in the early 2020s and has since seen strong enterprise adoption, significant institutional backing, and rapid growth. Their platform combines deep data integration, enterprise-grade workflows, and cutting-edge generative AI to deliver step-change productivity gains for lean teams. As the platform scales, success depends on transforming learnings from customer deployments into core, reusable product functionality. Product Engineering in this environment is about: • Generalising from complex, real-world use cases, • Designing abstractions that work across diverse enterprise contexts, • Building flexible systems that scale without fragmenting You’ll work closely with customer-facing engineers, product leaders, and end users to identify common patterns — then turn them into configurable capabilities within a single, scalable codebase. What You’ll Be Doing • Collaborate with engineers, product managers, and customers to understand emerging use cases, • Translate those use cases into reusable, configurable platform components, • Design scalable data models, workflows, and abstractions that support high variability, • Build and extend generative AI-enabled workflows as part of the core product, • Develop and maintain robust data pipelines using Python, PySpark, and distributed systems, • Balance near-term delivery with long-term platform maintainability and coherence, • Contribute to architectural decisions shaping the evolution of the platform What We’re Looking For • 2–6 years’ experience in data engineering, analytics engineering, or product-focused engineering, • Experience building platforms or products, not just one-off solutions, • Strong ability to turn ambiguous business problems into clean technical designs, • Solid foundations in Python, PySpark, and SQL, • Comfortable operating in a fast-moving startup environment Nice to Have • Experience with modern data platforms (e.g. Foundry, Databricks, Snowflake, dbt, Airflow), • TypeScript experience, • API design and backend product development exposure, • Familiarity with enterprise systems (ERP, CRM, etc.), • Exposure to generative AI systems or AI-enabled workflows What’s On Offer • Join a category-defining, high-growth startup solving complex enterprise problems, • Work alongside a highly experienced, interdisciplinary leadership team, • Strong mentorship and a steep, rewarding learning curve, • Competitive salary and meaningful equity, • Flexible hybrid working and visa sponsorship where required, • Modern London office designed for collaboration, • A company committed to social and environmental responsibility

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you’ll do • Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant., • Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents., • Dive into the world of traditional NLP techniques and stay ahead of the curve., • Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data., • Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life., • Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery • Proficiency in LLMs and transformer architecture., • Deep understanding of traditional NLP techniques. Data & Visualisation • Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.), • Proficiency in Python visualisation libraries (Matplotlib, Seaborn.), • SQL for data extraction and manipulation., • Experience working with large datasets. Technical Skills • Proficiency in cloud computing and python programming., • Familiarity with Python libraries like Pandas, NumPy, scikit-learn., • Experience with cloud services for mode training and deployment. Machine Learning Fundamentals • Statistical concepts for robust data analysis., • Linear algebra principles for modelling and optimisation., • Calculus for optimising algorithms and models., • Predictive modelling techniques for regression and classification., • Time series analysis for handling time-dependant data., • Deep learning and neural networks. LLM Operations • Expertise in managing and operationalising large language models., • Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Engineering Supervisor (Food/FMCG) £50,000+ This is a role for engineers who still want to be on the tools but also want to make more of an impact and have more say in how things are done. I’m working with a manufacturing site that’s looking for an Engineering Supervisor. This is going to be someone who can lead a team, keep standards high, and still roll their sleeves up when things go wrong. The normal day to day will be roughly 60%/70% hands on the tools and leading from the front. It’s not a role where you’ll end up being stuck behind a desk wondering what’s happening on the shop floor. The Role: You’ll be responsible for the day-to-day performance of the engineering maintenance function, making sure assets are looked after properly, breakdowns are dealt with quickly, and preventative maintenance actually prevents things. You’ll lead a team of technicians, set priorities, and work closely with production to keep downtime to a minimum. Responsibilities: • Leading and supporting the engineering maintenance team on shift, • Managing and prioritising breakdowns to minimise production disruption, • Planning and scheduling repairs and PPMs across the site, • Getting hands-on with fault-finding and breakdowns when required, • Ensuring all work is carried out safely and in line with compliance requirements, • Keeping maintenance records accurate, up to date and audit-ready, • Working closely with production and shift managers to improve reliability, • Supporting training and development within the engineering team, • Setting expectations around standards, behaviour and ways of working, • Attending daily meetings to communicate maintenance priorities, • Managing spares and engineering stock levels, • Supporting fault-finding on PLC-controlled equipment What they’re looking for: • Proven experience supervising or leading engineers in a manufacturing environment, • Strong fault-finding skills and solid engineering fundamentals, • A good understanding of health & safety and compliance, • Confidence managing people, priorities and pressure, • Experience with inverters, cable selection and small engineering projects, • A proactive, calm approach when things don’t go to plan, • CMMS experience (or willingness to learn) Experience in FMCG or the food manufacturing industry is of course going to be useful. If that’s not something you have direct experience with it’s not a deal breaker but it will mean a steeper learning curve. Why this role is worth it: This isn’t a step away from engineering, it’s a chance to influence how maintenance is done while staying technically sharp. You’ll have visibility, responsibility, and the chance to genuinely improve performance rather than just react to problems. If you enjoy leading people, fixing problems properly, and being trusted to run your area then this one’s worth a conversation. Please apply with an up to date copy of your CV. All applications will receive a response. If you would like a conversation to hear more about this position, please call 01733391515 and ask for Sam. By applying to this advertised job, you give consent for The Sterling Choice Ltd to hold your information. Our privacy policy can be found on our website ___ At your request, this can also be sent to you.

Product Engineer (Data / Platform / Applied AI) Location: London (hybrid 3 days onsite) The Opportunity We’re partnering with a rapidly scaling, venture-backed technology startup building a next-generation enterprise data and AI platform. They’re looking for a Product Engineer who thrives at the intersection of product thinking, data engineering, and applied AI. This role is ideal for someone excited about turning real-world complexity into reusable, configurable platform capabilities — enabling enterprise customers to deploy powerful solutions without bespoke engineering every time. In a world where competitive advantage is driven by adaptable platforms rather than one-off implementations, you’ll help lay the technical foundations that allow the product to scale across industries, geographies, and operating models. About the Company The company is developing a category-defining Strategy & Decision Intelligence platform that unifies internal and external data into a single, intelligent system. It enables large enterprises — including global industrial and Fortune 500 organisations — to make clearer, faster, and more durable strategic decisions. Founded by experienced technology and business leaders, the company launched in the early 2020s and has since seen strong enterprise adoption, significant institutional backing, and rapid growth. Their platform combines deep data integration, enterprise-grade workflows, and cutting-edge generative AI to deliver step-change productivity gains for lean teams. As the platform scales, success depends on transforming learnings from customer deployments into core, reusable product functionality. Product Engineering in this environment is about: • Generalising from complex, real-world use cases, • Designing abstractions that work across diverse enterprise contexts, • Building flexible systems that scale without fragmenting You’ll work closely with customer-facing engineers, product leaders, and end users to identify common patterns — then turn them into configurable capabilities within a single, scalable codebase. What You’ll Be Doing • Collaborate with engineers, product managers, and customers to understand emerging use cases, • Translate those use cases into reusable, configurable platform components, • Design scalable data models, workflows, and abstractions that support high variability, • Build and extend generative AI-enabled workflows as part of the core product, • Develop and maintain robust data pipelines using Python, PySpark, and distributed systems, • Balance near-term delivery with long-term platform maintainability and coherence, • Contribute to architectural decisions shaping the evolution of the platform What We’re Looking For • 2–6 years’ experience in data engineering, analytics engineering, or product-focused engineering, • Experience building platforms or products, not just one-off solutions, • Strong ability to turn ambiguous business problems into clean technical designs, • Solid foundations in Python, PySpark, and SQL, • Comfortable operating in a fast-moving startup environment Nice to Have • Experience with modern data platforms (e.g. Foundry, Databricks, Snowflake, dbt, Airflow), • TypeScript experience, • API design and backend product development exposure, • Familiarity with enterprise systems (ERP, CRM, etc.), • Exposure to generative AI systems or AI-enabled workflows What’s On Offer • Join a category-defining, high-growth startup solving complex enterprise problems, • Work alongside a highly experienced, interdisciplinary leadership team, • Strong mentorship and a steep, rewarding learning curve, • Competitive salary and meaningful equity, • Flexible hybrid working and visa sponsorship where required, • Modern London office designed for collaboration, • A company committed to social and environmental responsibility

Alexandria Technology is building next-generation AI-powered products that transform the way companies analyze data. Our mission is to bring cutting-edge AI into business applications that are fast, scalable, and impactful. We’re a collaborative team who are passionate about applied AI and we’re looking for our next sales rockstar to help us scale. As our Business Development Representative (BDR / SDR), you’ll be the first point of contact for potential customers. You’ll play a critical role in building our sales pipeline and shaping our go-to-market strategy. This role is perfect for someone who’s hungry to grow, excited about AI, and ready to dive into the world of tech sales. Qualifications • Cold calling, cold calling and more cold calling., • Research and identify high-potential leads through outbound outreach (email, social, cold calls), • Can maintain a high volume of prospecting activity, on average 100+ attempts per day, • A track record of high achievement, • The desire to smash measurable performance goals Why Join Alexandria? • Work with a small, high-impact team of founders, engineers, and AI experts, • Tons of autonomy, fast learning curve, and real ownership, • A culture that values transparency, creativity, and speed Preferred Qualifications • Bachelor's degree, • Cold Calling experience (1-2 years of experience), • Comfortable working in a fast-paced, early-stage startup environment, • Experience in the financial or data industries

About the job THE CORPORATE BIT notwoways is a London based sneaker brand known for creating technical and fashion-forward footwear. We are a small, tight-knit core team that manages every aspect of the product cycle globally, starting from initial design brainstorming, through offshore manufacture and inbound shipping, to online B2C retail sale and finally through to fulfilment to customers globally. GOOD STUFF WE ARE DOING TODAY WITHOUT YOU…AND TOMORROW WITH YOU From a standing start in early 2020, notwoways has had a continuous run of product drops that have sold out within minutes. We have since matured and built an everlasting range, whilst the footwear landscape continues to grow. This, alongside key quarterly projects such as collaborations and unique campaigns are in the works going into 2026. We are continuously learning by doing and, having grown incredibly quickly to date, we now need your experience and expertise to help take us to the next phase of the brand through our e-com and operational pillars. This is an exciting opportunity to dive into the fashion industry and excel in a fast-paced start-up environment; we’re a small, dynamic team, providing you with lots of self-development and growth opportunities. IS THIS YOU? You’re a naturally curious, systems-minded thinker with a love for how things work end-to-end in the product world. You care about the full operations journey: from product set-up and stock levels, to checkout flow, shipping options and customer support. You notice the details others miss; a broken size filter, a confusing returns step, a slow product page, and you instinctively want to fix them. You enjoy working with numbers and processes as much as with the products: monitoring sell-through, tracking orders, spotting patterns in returns, and making sure inventory is always accurate. You think in flows and frameworks, not just tasks. You’re comfortable jumping between tools, troubleshooting issues with warehouses or couriers, and keeping launch calendars, restocks and pre-orders running smoothly. You like working in the open, sharing what’s happening and collaborating across teams, from product to customer service to logistics. Making sure every pair of sneakers gets from screen to doorstep as smoothly as possible. You’re a practical team player who wants to help build a sharp, efficient e-com and operations engine for an independent sneaker brand, notwoways about it. ROLE & RESPONSIBILITIES: • Partnering with our founders and associated teams to schedule product releases throughout the year and assistance relating to key campaigns and limited drops., • Working with our web development partners to brief, test and launch onsite changes (collections, activations, UX tweaks, new features)., • Assist day-to-day operations: product set-up, SKU's, pricing, size curve, tags, navigation, filters and on-site search., • Assist inventory across channels: monitoring stock levels, flagging low/over-stock, and coordinating restocks or markdowns where needed., • Partnering with our warehouse / 3PL to keep pick, pack and dispatch running smoothly, resolving issues and refining SLAs as we grow., • Overseeing shipping and returns flows: couriers, service levels, packaging choices, return labels and processing., • Assist maintaining and improving our e-com tech stack (platform, apps, integrations), logging bugs and prioritising enhancements that improve efficiency and conversion., • Creating regular performance reports across key e-com and operations metrics (conversion, AOV, sell-through, stock cover, fulfilment times, return rates) to inform decisions., • Documenting and assist operational playbooks for launches, pre-orders, collaborations, sales and back-in-stock flows., • Working hand-in-hand with our customer support team to resolve order issues (missing items, delays, sizing problems) and fixing the underlying operational causes. TECHNICAL EXPERIENCE & SKILLS REQUIRED: • 2+ years experience in e-commerce, ideally within the operational side of a DTC brand., • Deep understanding of the nuances of key operational channels, with hands-on experience executing campaigns across major platforms., • Genuine interest in fashion and footwear., • Strong understanding of different operational systems and diverse customer demographics., • Proven experience managing projects in a fast-paced, high-energy environment., • Strong copywriting skills., • Confident in using systems and Excel., • Ability to understand, align with and contribute to wider strategic thinking., • Proactive, self-starting mindset with the ability to act tactically and work autonomously when needed., • Strong planning and organisational skills., • Collaborative mindset and a natural team player., • Excellent communication skills., • Calm and resourceful under pressure. WHAT WOULD BE GREAT, BUT ISN'T A SHOWSTOPPER: • Experience with html coding / Website development., • Shopify, Klaviyo, Customer Service Platforms, Stock System (Unleashed) and 3PL (Mintsoft)., • Experience with UX/UI., • Knowledge of the NTW brand history / general footwear market., • Understanding of global supply-chains. WE CAN OFFER: • An immediate start., • A Full-time role., • A modern, Central London working environment., • A competitive salary.

PR: Account Executive – Tech & Gaming • Hybrid, London (2 days in office), • £27,000 – £30,000 + Bonus + Benefits Join a specialist B2B PR agency operating at the heart of the global games, gaming technology and emerging tech ecosystem. This is a brilliant opportunity to build your career working with ambitious, high-growth businesses shaping how games are built, funded, distributed and monetised worldwide. The agency works exclusively with B2B clients across gaming, platforms, adtech, fintech, AI and emerging technology, delivering insight-led, data-driven campaigns that go far beyond traditional press office work. You’ll be exposed early to strategy, storytelling and tier-one media, supported by senior consultants with deep industry expertise. This role is ideal for an Account Executive who wants real responsibility, strong mentorship and a steep learning curve in one of the most exciting B2B sectors in tech. About the role • Support integrated PR campaigns across B2B games and technology clients., • Pitch daily to games trade, tech and business media., • Draft press releases, announcements, commentary and outreach copy., • Support data-led storytelling, whitepapers and thought leadership campaigns., • Help manage press offices, media requests and coverage tracking., • Monitor industry news and flag proactive opportunities for clients., • Work closely with senior team members on UK and international campaigns. About you • 6–24 months’ experience in PR, communications, journalism, content or marketing., • Strong writing skills and confidence communicating with media., • Interest in B2B tech, gaming, platforms or emerging technology., • Curious, organised and proactive with strong attention to detail., • Keen to learn quickly and take ownership early., • Comfortable juggling multiple tasks in a fast-paced agency environment. Why join • Sector specialism: One of the only agencies dedicated to games and tech., • Meaningful work: Data-driven, insight-led campaigns., • Exposure: Regular coverage in top-tier trade, tech and business outlets., • Career development: Clear progression and senior-level learning from day one., • Industry access: Embedded in the global games ecosystem and major events. Brilliant perks: • Competitive salary (£27K–£30K) + bonus, • 25 days holiday + bank holidays, • Hybrid working (2 days in office), • MacBook, iPhone and home setup support, • Gym subsidy and wellbeing perks, • Industry event travel (UK & international), • Fun, social team with regular get-togethers Apply or drop me a message at for more details and a confidential chat.

Core Highways are a leading provider of temporary traffic management, barrier solutions and events signage. People are the heart of our business. We recognise each and every individual’s value and commitment and we know that the success of our business is only made possible by the drive and enthusiasm of our people. As a nationwide business, we have a number of fulfilling roles and we're often looking to expand our teams as we continue to grow. We currently have a vacancy for a Power Platform Engineer. Reporting in to the Head of IT, this role will be responsible for maintaining and supporting PowerApps and other Power Platform solutions within our Microsoft365 stack. As our AI & Automation Engineer you will support our current solutions and play a key role in developing new solutions. Over time, you’ll take full ownership of this part of our estate, driving improvements and helping us stay ahead of the curve. This role will be Remote but with some occasional travel required to meet the wider team. Key Responsibilities: • Implement, maintain, and support PowerApps and other Power Platform solutions within our Microsoft365 stack., • Champion automation where practicable, streamlining manual operations and boosting efficiencies., • Integrate workflows and data connections between Microsoft 365, Azure AI services and other systems leveraging REST APIs., • Keep existing Power Automate workflows running smoothly and aligned with business needs., • Work with the IT Service Desk Team and Head of IT to identify opportunities to enhance our business processes., • Ensure we’ve got the right documentation in place., • Integrate with third-party APIs such as Oracle NetSuite to boost efficiencies across the group., • Drive power platform implementations through all project phases, including discovery, definition, build, test, and deployment., • Implement Power Platform governance, security, and compliance best practices Knowledge, Skills and Experience: • Someone who thrives on solving problems, communicates clearly, and proactively identifies opportunities for improvement., • Comfortable juggling multiple tasks and responsibilities across key business processes., • A thirst for knowledge and a desire to keep learning and growing in your role., • Ability to spot opportunities for efficiency, translate technical concepts for non-technical staff, and drive cost savings., • Skills in PowerApps with knowledge of Power Automate integration and Power BI familiarity., • You will care about delivering high-quality solutions that are robust, secure, scalable and maintainable What we offer: · Salary of £45,000 · 33 days holiday per year – Inclusive of bank holidays · Life assurance · Enhanced maternity pay · Enhanced Maternity leave · Pension scheme · Employee Benefits Hub – offering retail discounts, rewards and perks on over 1,000 brands · Employee Assistance Program – providing free 24/7, professional and confidential advice on any issue both personal and work related · Free Wellbeing App – access to the latest in wellbeing support for example, virtual fitness programs, help to stop smoking etc. · Company competitions to win cash prizes · CPD: support and training to develop your career and skills We are an equal opportunities employer. As a Disability Confident employer, we recognise that everybody is different and strive to harness those differences to create an inclusive environment where individuals feel valued, their talents are recognised and they are given every opportunity to develop their full potential. If you believe you have the necessary experience and qualifications or would like to know more information about this role, please contact our recruitment team at

Ciklum is looking for a Senior Intelligent Automation Engineer to join our team full-time in the UK. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. Responsibilities: • Own and drive end-to-end automation and AI transformation initiatives—translating business objectives into actionable product roadmaps and technical requirements, • Lead stakeholder engagement, facilitating workshops, interviews, and design sessions to uncover pain points, assess opportunities, and define automation and AI-enabled use cases, • Collaborating with development teams to prioritize and deliver AI and automation solutions aligned to business value and strategic outcomes, • Design, evaluate, and validate business cases for automation and AI initiatives, clearly articulating ROI, efficiency gains, and strategic benefits, • Champion innovation, helping clients understand and leverage emerging technologies such as Generative AI, Process Mining, Intelligent Document Processing (IDP), RPA, Low Code/Workflow platforms, and Conversational AI, • Ensure governance and ethics are embedded in all AI solutions, addressing topics such as data quality, bias, model interpretability, and responsible AI deployment, • Monitor adoption and success metrics, using feedback and performance data to iterate and continuously improve delivered solutions, • Educate and influence client teams through thought leadership, training, and demonstrations on the business value and risks of AI-driven automation, • Stay ahead of the curve by researching market trends, technologies, and frameworks to continuously evolve the firm’s automation and AI offerings Requirements: • Bachelor’s degree or higher (STEM, business, or related discipline), • Proven experience leading automation or AI initiatives,ideally in a consulting, product management, or digital transformation capacity, • Strong understanding of Intelligent Automation technologies (RPA, Process Mining, IDP, Workflow, Conversational AI) and advanced AI models (including Generative AI), • Hands-on experience working with technology teams to define product backlogs, write user stories, and manage delivery in agile or hybrid environments, • Able to evaluate complex problems, define KPIs, and translate insights into clear technical and business requirements, • Excellent stakeholder management skills, capable of engaging senior executives and technical teams alike to influence outcomes and drive alignment, • Awareness of ethical and regulatory implications of AI adoption, including bias, transparency, and responsible use, • Strong communication and storytelling skills, with the ability to simplify complex technical concepts for non-technical audiences, • Consulting mindset professional, adaptable, and comfortable working across industries and fast-paced client environments, • Willingness to travel to client sites when required What`s in it for you? • Strong community: Work alongside top professionals in a friendly, open-door culture that values initiative and empowers its people to succeed, • Fast-paced & agile environment: Be part of a dynamic, fast-moving organization that champions efficiency and innovation, • Global exposure: Collaborate with international, cross-functional teams and contribute to large-scale initiatives, • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications, • Flexibility: Balance office and remote work to fit your rhythm Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Proven experience designing, developing, and deploying machine learning models and AI algorithms. Learning and development: Access to internal and external courses, certifications, and industry events to stay ahead of the curve. Design, develop, and implement machine learning models and AI algorithm