Data engineering manager jobs in United Kingdom

As the Marketing Manager at Remoli, you lead the development and execution of strategic marketing initiatives that enhance our brand presence, engage our customers, and drive revenue growth across all locations. You manage campaigns across digital and traditional channels, ensuring consistency in our brand messaging while bringing creative ideas to life. By analysing customer insights and marketing performance, you continuously refine strategies to optimise our reach and impact. A key focus of this role is digital marketing and search engine optimisation (SEO). You will oversee the development of a robust digital presence, ensuring our website ranks highly in search engine results and that our content strategy attracts and retains customers. You will be responsible for implementing best SEO practices, managing online advertising campaigns, and leveraging data analytics to enhance performance. Collaborating closely with the operations team, you support product launches, promotions, and events, helping to bring the authentic flavours of Remoli to a broader audience. Qualifications and Responsibilities 3+ Years as a Marketing Manager 3+ Years in Hospitality Degree in Marketing or Related Field Strategic Planning & Campaign Management Digital Marketing & SEO Content & Social Media Management Event Coordination & Brand Partnerships Customer Insights & Performance Analysis Budget & Collaboration Brand Awareness & Engagement SEO & Digital Performance Campaign & Sales Performance Customer Retention & Loyalty Customer Feedback & Reviews

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

We're hiring for a Senior Software Engineer within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact financial performance. You'll be working closely with researchers, helping maintain trading infrastructure, and helping the team scale and improve the systems at the heart of the business. You'll be working on data pipelines, build, support systems and infrastructure. A very wide ranging role requiring extensive experience across multiple technologies. The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to design and implement tooling and systems in a way you feel would be best suited to the problem at hand. A strong knowledge of operating systems, networks, software architecture and practical experience in deploying that knowledge is essential. Knowledge of sports betting or horse racing, which this team focuses on, isn’t required. We are a hybrid working company, with staff coming into the office in London every Thursday, plus any other days they like, working remotely at home the rest of the time. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. We're targeting Senior Developers for this role, ideally with several years of experience in mission-critical systems where precision, reliability, and fault tolerance are paramount. Our interview process is as follows: A brief screening call to give you some more information about the role, answer any of your initial questions and to check your suitability for the role. A 60 minute technical interview with our CTO and/or Team Lead, discussing your previous experience and also discussing some systems design challenges and how you'd approach them A collaborative coding assessment day, working with one of our team on some sample problems. This isn't leetcode, it's more about systems design and your approach to tradeoffs. This will last from 10am until 4pm UK time. An in person "meet the team" at our London office. Requirements At least one, ideally both of: A degree in a technical subject from a top university demonstrating your ability to grasp and apply complex concepts. Several years of senior-level experience in teams building mission-critical systems where precision and reliability are essential to success. Demonstrated professional expertise in the following areas: Fluency in multiple programming languages, with substantial experience in Python as a priority. Development and maintenance of Continuous Integration (CI) pipelines. Complex deployments on AWS Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc Experience with Golang Benefits Our salary range for the role is £40,000 to £80,000, depending on experience and interview performance. List of benefits: Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership Choose your own hardware & setup for your development environment.

The Role In this role, you will lead the design, development, and execution of our most complex and high-impact AI and data-driven security initiatives across the organisation. You will define the strategic direction for AI and data security architecture, owning the roadmap that ensures our systems and models are secure, resilient, and compliant by design. As a key technical leader, you will drive the adoption of modern security practices throughout the AI/ML development lifecycle—embedding security into data pipelines, model training workflows, infrastructure, APIs, CI/CD pipelines, and cloud-native platforms. You will work closely with engineering, MLOps, and product teams to ensure that models and data systems are built securely and scale effectively in a rapidly evolving threat landscape. You will also oversee the design and integration of enterprise-grade security and privacy controls across AI platforms, cloud environments, and data architecture—ensuring alignment with compliance frameworks (e.g., GDPR, ISO 27001, NIST AI RMF) and ethical AI principles. Collaborating cross-functionally with Engineering, DevOps, Data, Compliance, and Architecture teams, you’ll champion automation, threat modelling, privacy-by-design, and security-by-default across our AI and data ecosystem. This is a pivotal role that blends deep technical expertise with strategic foresight, empowering teams, strengthening our security posture, and shaping the future of trustworthy, secure AI innovation at scale. About Us At ZOG Global, we don’t just provide IT solutions, we build secure, intelligent, and scalable digital ecosystems. As a leading IT consultancy services in the UK, specialising in cybersecurity, automation, and software development, we help businesses stay competitive and secure. Our expertise spans advanced cybersecurity solutions, advanced AI-driven automation, and next-gen software development, ensuring our clients have the tools to innovate fearlessly while staying secure. At ZOG Global, we foster a culture of innovation, collaboration, and continuous learning, where every team member plays a crucial role in shaping the future of secure technology. Join us to work on challenging, high-impact projects, collaborate with some of the brightest minds in the industry, and drive security innovation at scale! Key Responsibilities • Secure AI/ML workloads running on cloud-native platforms such as SageMaker, Azure ML, Vertex AI, and custom Kubernetes-based training clusters. • Design isolation strategies and access controls for GPU-enabled instances, model endpoints, and distributed training environments. • Assess cloud-hosted AI services and APIs for misconfigurations, data leakage, and privilege escalation risks. • Ensure adherence to AI-specific regulatory frameworks (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) and responsible AI principles. • Contribute to the development of internal AI governance policies covering model transparency, fairness, and accountability. • Collaborate with legal, compliance, and data teams to assess ethical risks and implement guardrails for generative AI usage. • Design secure data pipelines and storage architectures that support privacy-preserving AI workflows and model training at scale. • Implement differential privacy, encryption-at-rest/in-transit, and federated learning where applicable to protect sensitive training data. • Evaluate and secure third-party datasets, embeddings, and model artefacts integrated into enterprise AI solutions. • Collaborate with data architect and analysts to assess model explainability, adversarial robustness, and model inversion risks. • Architect end-to-end AI/ML platforms with security-by-design principles, from data ingestion to inference. • Define secure model-serving architectures, including API protection, input validation, and rate-limiting mechanisms. • Support the design of scalable LLM and vector database infrastructure with appropriate access controls and logging. • Promote security standards for AI model reuse, supply chain integrity (e.g., ML model provenance), and open-source model vetting. • Embed security into CI/CD pipelines using automated security tools. • Develop and deploy security-as-code solutions for cloud and container environments. • Automate security compliance checks, vulnerability scanning, and incident response workflows. • Secure cloud-native applications, Kubernetes clusters, and serverless environments. • Perform security assessments, threat modeling, and risk mitigation strategies. • Ensure adherence to industry security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2). • Define security policies, best practices, and threat mitigation strategies. • Drive security awareness and DevSecOps culture across teams. What We’re Looking For • 6+ years of experience in cybersecurity, including 3+ years in DevSecOps, Application Security, Cloud Security, or Security Architecture roles, ideally with exposure to data-driven or AI/ML environments in enterprise or consultancy settings. • Professional certifications that demonstrate depth and breadth in cloud and security domains (e.g., CISSP, CCSP, SC-100, OSCP, AWS Security Specialty, or DevSecOps certifications). • Strong understanding of AI/ML security principles, including model integrity, data lineage, adversarial threat mitigation, input validation, and governance of generative AI systems in line with emerging AI regulations and privacy standards. • Demonstrated ability to embed security into CI/CD and MLOps pipelines, driving DevSecOps automation using Infrastructure as Code (IaC) and security-as-code practices. • Hands-on experience with security testing frameworks, including SAST, DAST, SCA, fuzz testing, and API security validation, using industry-standard tools and custom automation workflows. • Strong command of cloud platforms (AWS, Azure, GCP), including AI/ML services, Kubernetes, serverless architectures, and container security tooling. • Skilled in automating security controls and infrastructure compliance using tools (Terraform, Ansible, Jenkins, GitHub Actions, or similar). • Deep understanding of SIEM, SOAR, IAM, and cloud-native monitoring for real-time detection, incident response, and compliance reporting. • Proficient in scripting and automation using Python, Bash, Go, or similar languages to build scalable, repeatable security workflows. • Familiarity with key security and compliance frameworks, including MITRE ATT&CK, NIST CSF, OWASP SAMM, CVSS, STRIDE, PCI-DSS, GDPR, and emerging AI-specific standards (e.g., NIST AI RMF, ISO/IEC 42001). • Experience in data and AI security architecture, including data classification, secure data lakes, model provenance, encryption, key management, and regulatory compliance across hybrid cloud ecosystems. • Ability to design secure, scalable microservices and model-serving architectures, advocate for Zero Trust principles, and drive secure API and identity integration across enterprise environments. • Strong collaborator with experience leading cross-functional security initiatives, participating in vendor/tool evaluations, and aligning architecture with governance requirements. • Effective communicator who can translate complex security and AI risk topics into actionable guidance, foster DevSecOps and MLOps culture, and advocate for security best practices across technical and business teams. • Deep understanding of data security, governance, and compliance in cloud environments. • Experience in compliance processes, interfacing with external consultants, and handling customer security requirements. • Ability to solve highly complex security challenges intuitively and effectively. If you live and breathe AI and application security, can navigate complex systems, crave learning new things, and would like your work to have positive impact on all our initiatives, then this role is for you.

We are seeking a dynamic Social Media Growth Strategist to drive brand growth through strategic content creation, audience engagement, and business development. This role blends creativity with commercial acumen, ensuring both the agency and its clients achieve maximum visibility, engagement, and revenue. Key Responsibilities: 1. Social Media Strategy & Content Creation - Develop and implement data-driven social media strategies for clients and the agency. - Create high-quality content, including photos, videos, reels, and graphics, tailored for different platforms. - Maintain a consistent brand voice and aesthetic across all social media channels. - Identify and capitalise on trending topics, hashtags, and viral content opportunities. - Utilise SEO techniques, strategic posting schedules, and content optimisation to enhance reach. - Experiment with new formats such as live sessions, behind-the-scenes content, and interactive posts. 2. Community Engagement & Growth - Actively engage with followers by responding to comments and messages to foster relationships. - Develop influencer collaborations and brand partnerships to expand audience reach. - Monitor audience behaviour and refine engagement strategies accordingly. - Implement tactics to drive organic follower growth and increase engagement rates. 3. Business Development & Sales - Identify and approach potential clients who would benefit from social media marketing. - Create and deliver compelling pitches and presentations showcasing social media solutions. - Negotiate contracts and secure new business deals. - Maintain strong client relationships, identifying opportunities to upsell additional services. - Attend networking events, industry meetups, and online forums to generate leads. 4. Analytics & Performance Optimisation - Track and analyse social media performance using analytics tools. - Provide data-driven recommendations to improve content strategy and audience engagement. - Conduct competitor analysis to stay ahead in the market. - Adjust content and advertising strategies based on performance insights. 5. Daily Activities - Plan, create, and schedule content for multiple platforms. - Engage with followers, respond to queries, and interact with potential clients. - Research and brainstorm new content ideas based on emerging trends. - Reach out to potential clients and follow up on business leads. - Monitor campaign performance and make real-time adjustments. - Attend client meetings and provide strategic updates. Required Skills & Qualifications: 1. Advanced Content Creation – Proficiency in video editing, graphic design, and storytelling techniques for social media. 2. Data Analytics & Performance Tracking – Experience with analytics tools such as Meta Business Suite and Google Analytics. 3. Sales & Persuasion – Strong ability to pitch, negotiate, and close deals effectively. 4. Advertising & Paid Campaigns – Knowledge of running and optimising paid ads on Facebook, Instagram, TikTok, and LinkedIn. 5. SEO & Social Media Growth Strategies – Understanding of search engine optimisation (SEO) and platform algorithms. 6. Influencer & Community Management – Experience in building relationships with influencers, brand ambassadors, and online communities. 7. Crisis Management & Reputation Handling – Ability to manage negative feedback and social media crises professionally. 8. Time Management & Multitasking – Capability to handle multiple campaigns and client accounts efficiently. 9. Trend Forecasting & Innovation – Keeping up with emerging trends, platforms, and content innovations. 10. Public Speaking & Presentation Skills – Confidence in delivering presentations, pitches, and client consultations. Performance Metrics: - Growth in follower count and engagement rates. - Client acquisition and retention. - Revenue generated through social media marketing services. - Effectiveness of content and campaign performance. This role is ideal for a results-driven professional who can seamlessly blend content creation with business development, ensuring both the agency and its clients achieve outstanding online success.

marketingJob Overview We are seeking a dynamic and results-driven Marketing Manager to spearhead our marketing initiatives and expand our footprint in the Chinese market. The ideal candidate will have a strong background in digital marketing, particularly in B2C or B2B environments, and a deep understanding of the Chinese education market. This role requires expertise in leveraging Chinese digital platforms (e.g., WeChat, Weibo, Douyin, Xiaohongshu), analysing market trends, and crafting innovative marketing strategies tailored to Chinese audiences. Duties Develop and execute comprehensive marketing strategies to promote Hola Hola Limited’s services to Chinese students and their families. Manage and optimise campaigns across Chinese social media platforms, search engines, and other digital channels. Collaborate with UK-based teams to align marketing efforts with company goals and ensure consistent brand messaging. Conduct market research to identify trends, opportunities, and challenges in the Chinese education sector. Build and maintain relationships with key stakeholders, including educational institutions, agents, and influencers in China. Monitor and analyse campaign performance, providing actionable insights to improve ROI. Stay updated on the latest marketing tools, technologies, and best practices in the Chinese market. Experience Proven experience in digital marketing, preferably within the education or international student recruitment sector. Strong knowledge of Chinese digital marketing platforms and tools (e.g., Xiao hong Shu, Tiktok, Weibo). Excellent communication skills in both Mandarin and English, with the ability to create compelling content for Chinese audiences. Analytical mindset with the ability to interpret data and translate it into effective marketing strategies. Creative thinker with a passion for innovative marketing approaches. Strong organisational skills and the ability to manage multiple projects simultaneously. If you are passionate about driving results through innovative marketing strategies and possess the required skills, we encourage you to apply for this exciting opportunity as a Marketing Manager.

AI Consultant 📍 Location: In-Office (Dartford, UK) 💰 Salary: £49,400 per annum 🕒 Hours: Monday to Friday, 8 AM – 4 PM 🕒 Employment Type: Full-Time About Us Prowiden Recruitment is a fast-growing recruitment agency specializing in placing top talent across healthcare, trade, logistics, construction, and engineering sectors. As we continue to integrate technology into our recruitment processes, we are looking for an AI Consultant to drive innovation, optimize hiring strategies, and enhance efficiency through artificial intelligence and automation. Role Overview We are seeking a tech-driven and analytical AI Consultant to enhance our talent acquisition process using AI-powered tools. You will play a crucial role in implementing automation, improving candidate sourcing, and leveraging AI-driven data analytics to refine recruitment strategies. This is an in-office role based in Dartford Key Responsibilities • AI-Powered Recruitment: Implement and optimize AI tools to streamline candidate sourcing, screening, and shortlisting. • Process Automation: Develop automation workflows to improve applicant tracking, interview scheduling, and engagement. • Data Analysis & Insights: Use AI-driven analytics to predict hiring trends, optimize recruitment strategies, and enhance decision-making. • AI Chatbots & Candidate Engagement: Deploy and manage AI-powered chatbots to improve communication with candidates and provide real-time support. • Bias Reduction & Compliance: Ensure AI-driven recruitment processes align with ethical hiring standards and reduce bias. • Recruitment Marketing: Leverage AI for programmatic job advertising, personalized job recommendations, and social media outreach. • Training & Support: Educate HR teams on AI recruitment tools and monitor adoption to ensure effectiveness. Skills & Experience Required • Strong understanding of AI applications in recruitment, including machine learning, automation, and chatbot technologies. • Experience with AI-powered applicant tracking systems (ATS) and HR software. • Proficiency in data analytics and predictive hiring trends. • Knowledge of ethical AI practices and bias reduction in hiring. • Strong problem-solving skills and the ability to optimize recruitment workflows. • Excellent communication skills and the ability to work collaboratively with recruitment teams. • Prior experience in HR tech, talent acquisition, or AI-driven recruitment is a plus.

DevOps Engineer City of London £Competitive plus strong bonus and benefits Azure, Terraform, Data Tooling DevOps Engineer is sought to join a highly prestigious financial services organisation. This is a key role that will see you taking responsibility for developing Microsoft Fabric related DevOps processes, ensuring the correct balance between environmental control and ensuring Data Engineering teams have the flexibility to work efficiently. You will create bespoke modules in Terraform and actions in GitHub (or Azure DevOps) to support CI/CD workflows. You will also liaise with teams across the business to ensure the platform meets all security and performance requirements. Key Responsibilities Develop standards and strategies to manage the deployment of assets into the Microsoft Fabric ecosystem. Where required create custom actions in GitHub/Azure DevOps that use the Microsoft Fabric APIs. Where required create custom terraform modules to ensure Microsoft Fabric configuration is held as infrastructure as code. Work with Data Engineers to create the development environments engineers will use to develop and deploy products in Microsoft Fabric. Work with data owners around the business to ensure source data systems can be securely accessed. Ensure security best practices are followed. BCP/DR strategy. Work with other members of the central platform team to monitor the Microsoft Fabric feature roadmap and integrate new features into the established eco-system. Work with other members of the central platform team to define an efficient project process to deliver new data products. Key Technical Skills and Experience Terraform Modules Infrastructure as code GitHub/Azure DevOps Azure Data Factory Azure Synapse CI/CD including Databases Databricks GitHub Actions/Azure DevOps Tasks Monitoring in Azure Release Management Experience Microsoft Fabric (not essential) Minimum 6 years working in a cloud environment managing data engineering products.

Senior Geotechnical Engineer MillTech is supporting for a fast growing Geotechnical Engineering and Geosurvey Consultancy with recruiting a Senior Geotechnical Engineer to the team. The company has been growing at an impressive rate due to the high demands for their Geotechnical services and are looking for a Senior Geotechnical Engineer to join them on a permanent basis. Your responsibilities as the Senior Geotechnical Engineer will include the following: Manage the day-to-day geotechnical engineering operations Perform offshore geotechnical investigations, including participation in field surveys and reporting Complete and deliver engineering consultancy and lead in the preparation and delivery of geotechnical studies, designs and reports Test, maintain and develop the company’s geotechnical equipment portfolio Lead the preparation and mobilization of geotechnical and supporting equipment and undertake offshore geotechnical site investigations Supervise and conduct data assessments and geotechnical analyses To succeed in this role, the ideal Senior Geotechnical Engineer will have the following background: Proven background in commercially employed ground investigation, geotechnical engineering, and geological processes in marine environments Experience in offshore site investigation experience with references Knowledge of industry standard geotechnical equipment including operations, troubleshooting and launch and recovery aspects Professional Engineer License or active path towards licensing is desirable but not a requirement Be available to undertake extended offshore assignments (30 days +) when necessary Be physically fit and able to perform office and offshore duties including the capability to undertake offshore survival training and offshore standard medical screening Degree educated in Civil Engineering or Geology or closely related subject supported by further academic study or practical experience in geotechnical engineering or engineering geology You will be required to travel offshore during project executions. Projects can be worldwide. Share a CV for an immediate call and interview. Position: Permanent Location: Remote with offshore travel Salary: £30,000 - £40,000 base + offshore allowance (between 120-180 days)

IT Support technicians required to assist in house team and external clients. Routine duties will include: Logging support queries and issuing tickets, Resolving common issues as network connectivity and access controls, Escalating complex issue to engineers, Providing reports to management for process improvements and system changes, Uploading files and data to servers, Ensuring product licences and agreements are up to date, Informing management of renewals of contracts. Training and supervision provided. Full time role. 37.5 hours per week. Company established in 1997. Portfolio of bluechip clients.