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Compliance Consultant (Extended Producer Responsibility Regulations)\n\nNorth/Hybrid Working\n\n£28,850 - £35,000 plus bonus and company car or car allowance\n\nOur client is a leading provider of environmental compliance, working in partnership with more than 400 customers, in nearly every corner of the globe.\n\nA vacancy currently exists for a Compliance Consultant to play a key role in delivering the company’s core business, compliance solutions. This is an exciting role requiring market awareness, the ability to learn quickly and keep calm under pressure.\n\nThe Compliance Consultant is a cross between field-based and home-based work, where you will act as an ambassador for the company, providing outstanding customer service. You will also demonstrate exceptional knowledge of Extended Producer and Producer Responsibility Regulations (EPR, Packaging, WEEE and Batteries) and provide technical assistance to other departments within the company. You will be able to talk about other regulations and become familiar with other regulatory changes/consultations as they arise. The Compliance Consultant will play a vital audit role in the completion of the data monitoring plan and be responsible for managing individual accounts.\n\nCandidate Requirements:\n\n Educated to Degree level or equivalent in a STEM subject (or industry experience will be considered)\n\n Previous experience in a Compliance/Auditing role\n\n Ability to pick up, retain and deliver technical and regulatory information\n\n Customer focused with drive to provide the highest level of customer satisfaction\n\n Ability to demonstrate a broad knowledge of the business and industry\n\n Exceptional organisational skills with the ability to prioritise own workload\n\n Attention to detail and a professional, proactive work ethic\n\n Good numeracy skills\n\n Strong communication and confident presentation skills\n\n Flexibility and adaptability to working practice\n\n The drive to learn and develop in an ever-changing company\n\n Excellent team player\n\n Knowledge of Microsoft Office applications, in particular Excel\n\n An interest or experience in environmental issues\n\n Understanding of EPIC processes (desirable)\n\n Willingness to stay away from home from time to time\n\n * Full UK drivers’ licence\n\nCandidates should be based in the North Region (i.e. Manchester, Leeds, Wakefield, Sheffield). The role will involve visiting clients’ sites 2-3 days per week, the remaining days working from home.\n\nRef: J9669

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

CP27879 Mobile Field Service Engineer | Heavy Plant & Construction Equipment Location: Remote / Home-Based (Derby / Sheffield region) with UK travel Hours: Mon-Fri, 39 hrs contracted (55-65 hrs typical with overtime) Salary: £40,000 - £50,000 basic + OT (1.5x & 2x) | Tool & Boot Allowance | Company Van Join a Leading Plant Maintenance Team! We're urgently seeking an experienced Field Service Engineer / Mobile Plant Technician / Heavy Equipment Mechanic to service, maintain, and repair a fleet of Volvo, Caterpillar, and Komatsu heavy earthmoving machinery. This is a fully remote, home-based role, where you'll travel directly to customer sites. The position includes regular UK travel with typically 1-2 overnight stays per week. Key Responsibilities: Mobile servicing and diagnostics directly on customer sites Occasional work in the workshop when required Overhauls, electrical troubleshooting, and preventive maintenance On-site welding and gas cutting (advantageous) Work safely and efficiently while meeting QSHE objectivesRequirements: Proven experience with heavy plant, construction, or quarry equipment CSCS Card, First Aid, EPIC Quarry Passport, NVQ Level 2 desirable (training available) Full UK driving licence Able to work independently in a field-based role Positive, proactive attitudeWhy Work With Us: Fully remote / home-based position Regular overtime and strong earning potential Fully equipped Mercedes company van Tool & boot allowance Structured but flexible field-based workingApply today if you're a hands-on Mobile Field Service Engineer looking for a well-paid, truly mobile role with autonomy and variety. INDHP If you would like to know more about this position, then please forward your CV to (url removed) immediately. If you would like to discuss this position, please call (phone number removed) and ask to speak to Chloe. Please note Alecto Recruitment are acting as an employment business in relation to this vacancy