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Apply today to work as a Line Leader for our client, a professional yet friendly company that specialises in making and developing chilled meals for the top UK supermarkets, making over 3.7million chilled meals every week.Are you hardworking, reliable , and ready to be part of a dynamic team? We're looking for motivated individuals to join our team and help us deliver high-quality products to our customers every day.Staffline is recruiting for Line Leaders in Wrexham.The rate of pay is:- Days £13.74 per hour- Nights £15.04 per hourOvertime is available and is paid at:- Days £20.61 per hour- Nights £22.56 per hourThis is a full-time role, and the hours of work are:- 4 on 4 off, 6am to 6pm- 4 on 4 off 6pm to 6amYour Time at WorkAs a Line Leader your responsibility is to care for the staff in your team, to care for the product their team is making. Your main duties include:- People management - motivation, organisation, delegation, leadership- Product knowledge - materials, QAS sheets, line speeds, equipment, etc- Operator training - competent team members in each role, GMP- Company-minded - always looking for ways to improve- Quality-minded - continuous monitoring of the team's production- Effective administration of paperwork - process sheets, start-up sheets, etc- Awareness of performance in relation to daily plan (time & quantity)- Teamwork & flexibility - within department / shift and wider company.Communication- with team members (direction, discipline, encouragement)- with supervisors, managers (resources, information, problems)- with peers (batch controllers, line techs, other line leaders)- with other functions (QA, Packing, hygiene, personnel)Our Perfect WorkerOur perfect worker will:- Cheerful, positive team who understand what is required- Good quality, yields, efficiency, productivity,- Good Manufacturing Practice (GMP) at all times- Daily work planned & organised ahead of time- Supervisors being kept aware of potential problems now or looming- Quick & efficient line changeovers- Being not 'bogged down' on any one job, but free to monitorKey Information and Benefits- Earn £13.74 - £22.56 per hour- Full-time- Company pension- Discounted or free food- Employee discount- Free parking- On-site parking- 1 free meal per shift- Free tea and coffee- Weekly pay- Staff shop- Staff car park- Canteen- LockersJob Ref: 1OMWAbout StafflineStaffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales.As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical & engineering, manufacturing & automotive and security.Important Information- Staffline and its subsidiaries do not charge any recruitment or job-seeking fees at any stage of the hiring process.- This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline.- Our job adverts are correct at the time of publication, but some details and job responsibilities are subject to change.TPBN1_UKTJ

Do you have previous experience within a fast-moving production environment? If so, apply today to work as a Material Control Supervisor for our client, a professional yet friendly company who specialise in making and developing chilled meals for the top UK supermarkets, making over 3.7million chilled meals every week.Staffline is recruiting a Material Control Supervisors in Wrexham.The rate of pay is £15.46 per hour.Overtime is available and is paid at £23.19 per hour.This is a full-time role working a fixed night shift and the hours of work are:- 18:00pm to 06:00amYour Time at WorkAs a Material Control Supervisor, you will supervise night shift staff to deliver and control all yield products to lines for support with Plan attainment and maintain GMP with focus on Health & Food Safety first.Key duties:- Daily submission of shift report (teams).- Ensure daily Cycle count by stock room completed.- Investigate materials variance.- Action of concessions and waste on System 21.- Allocation of Holidays.- Spot checks of Area GMP/CCP using daily sheets.- Shift reporting H&S Hazards/Near misses.- Shift Handover.- Shift 2hour SIC updates.- Daily start-up sheets.- Liaise with LRK Supervisor & HCA supervisor on materials issues wherever necessary.- Ensuring accurate information given reference stock receipts, holding and movements to accounts and HRA department.Our Perfect WorkerOur ideal worker will have:- A sound academic background with good communication and interpersonal skills. Basic computer literacy with a level of systems/scanning knowledge within Oscar Mayer Systems- The ability to work well against rapidly changing dynamics to plan / tight deadlines.- A good problem solver attitude with quick thinking.- Able to delegate actions to staff to make sure work is completed on time and in line with Plan.- Knowledge of supervising staff and challenging performance.- Good level of flexibility required.- Strive for 100% plan attainment level.- Strive for 100% CCP/ Quality attainment level.Key Information and Benefits- Earn £15.46 - £23.19 per hour- Nights- Temp-to-perm opportunity- On-site support from Staffline- Canteen on site- Free car parking on site- Free food- Free hot drinks- PPE provided- Full training provided- Opportunities for overtimeJob Ref: 1OMWAbout StafflineStaffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales.As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical & engineering, manufacturing & automotive and security.Important Information- Staffline and its subsidiaries do not charge any recruitment or job-seeking fees at any stage of the hiring process.- This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline.- Our job adverts are correct at the time of publication, but some details and job responsibilities are subject to change.TPBN1_UKTJ

We're looking for a reliable and focused Hygiene Operative to join our team in Wrexham . You'll ensure the smooth running of the day-to-day hygiene operations to fulfil business/department needs and targets.Our client is a professional yet friendly company that specialises in making and developing chilled meals for the top UK supermarkets, making over 3.7million chilled meals every week.The rate of pay is:- Days £12.71 per hour- Nights £13.50 per hourOvertime is available at this site and is paid at:- Days £19.07 per hour- Nights £20.25 per hourThis is a full-time role, working 4 on 4 off, 12-hour shifts . The hours of work are:- 06:00am to 18:00pm- 18:00pm to 06:00amYour Time at WorkAs a Hygiene Operative your key duties include:- Under the guidance of Manager / Supervisor, ensure that the production and external areas are kept clean and tidy.- Carry out machine and equipment cleaning to high hygiene standards following correct policies and procedures in line with training.- Ensure that any hygiene targets set by the Manager / Supervisor are met; or if this is not possible, shortfalls are reported to the relevant person in a timely manner.- Maintain a clean and tidy area (work, changing room, canteen etc), meeting both safety and hygiene regulations of the site.- Carry out training commensurate with the area, including regular refresher/update training as and when required.- Report any equipment defects immediately to the Supervisor.- Assist during internal/external audits as required.- Adhere to all Company Rules and Policies.- Maintain high levels of work performance, including attendance, timekeeping etc.- Assist in loading and unloading of laundry and support in laundry and facilities cleaning activitiesOur Perfect WorkerOur ideal worker will be physically fit, comfortable standing for the duration of their shift, perform repetitive cleaning tasks, lift and move equipment or materials, and work in a fast-paced environment while following hygiene and safety procedures.Applicants will be reliable, hardworking, and detail-oriented, with a strong commitment to hygiene, safety, and maintaining high cleaning standards. Able to work effectively both independently and as part of a team.Experience in a similar role is desirable, but not essential as full training is provided.Key Information and Benefits- Earn £12.71 - £20.25 per hour- Full-time- On-site support from Staffline- Canteen- Company pension- Discounted or free food- Free parking- On-site parking- Shop on site- Full training providedJob ref: 1OMWAbout StafflineStaffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales.As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical & engineering, manufacturing & automotive and security.Important Information- Staffline and its subsidiaries do not charge any recruitment or job-seeking fees at any stage of the hiring process.- This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline.- Our job adverts are correct at the time of publication, but some details and job responsibilities are subject to change.TPBN1_UKTJ

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

Data Engineer- London/ Remote- 4 Months- £41-£46 ph PAYE A global technology company are looking for an experienced Data Engineer to join their team on an initial 9 month assignment. The data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. The successful Data Engineer will work with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. Responsibilities: • Manage data warehouse plans for a product or a group of products., • Interface with engineers, product managers and product analysts to understand data needs., • Build data expertise and own data quality for allocated areas of ownership., • Design, build and launch new data models in production., • Design, build and launch new data extraction, transformation and loading processes in production., • Support existing processes running in production., • Define and manage SLA for all data sets in allocated areas of ownership., • Work with data infrastructure to triage infra issues and drive to resolution. Skills/ Experience: • 5+ years experience in the data warehouse space., • 5+ years experience in custom ETL design, implementation and maintenance., • 5+ years experience with programming languages (Python or Java), Python preferred., • 5+ years experience in writing efficient SQL statements., • Experience working for a large technology company, • Experience working with either a Map Reduce or an MPP system., • Hands on and deep experience with schema design and dimensional data modelling., • Ability to analyse data to identify deliverables, gaps and inconsistencies., • Excellent communication skills including the ability to identify and communicate data driven insights., • Ability and interest in managing and communicating data warehouse plans to internal clients., • BS/BA in Technical Field, Computer Science or Mathematics Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.

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.

Position at Moneycorp Please note: we are offering this position as a fixed term contract. Who We Are Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service. In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and proprietary technology. Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values. We’re restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey. The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business. Who You Are / Your Next Challenge The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight‑driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems. This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency. As Finance undergoes significant change, the Data Engineer will be a key technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation • Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python‑based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads., • Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy., • Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered, • Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold‑layer datasets, ensuring secure, performant, and well‑governed reporting models for dashboards and analytical consumption., • Support the onboarding of new data sources into Microsoft Fabric by working with DevOps teams on secure connectivity, API integrations, and operational ingestion processes., • Design and develop data pipelines and queries, for efficient data extraction and transformation., • Write and maintain production-level code to support lead management and Finance systems, ensuring scalability, performance, and reliability., • Development and maintenance of complex datasets needed for reports, dashboards, and visualisations., • Troubleshoot database-related issues., • Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies., • Conduct regular reviews of SQL code and queries for performance improvements, • Ensure data security and integrity., • Stay updated with the latest database technologies and best practices. Data Warehouse • Implement best practices for data modelling, ETL processes, and data integration., • Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning., • Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture. Finance System Infrastructure, • Support configuration changes as needed to meet Finance & Business requirements., • Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users., • Facilitating with the implementation of the new functionality arising from the upgraded software.What we’re looking for: Essential, • Extensive SQL experience:, • Working with relational databases (e.g., SQL Server, Oracle, MySQL)., • Strong proficiency in SQL, T-SQL and SparkSQL., • Proven background as a SQL Analyst / Developer or Data Engineer., • Experience working with structured and unstructured data sources., • Experience writing stored procedures and production‑level data transformation code., • Previous experience of working in a fast-paced environment, • Knowledge of software development best practices., • Strong analytical mind, excellent attention to detail., • Good interpersonal and communication skills both written and verbal., • Good analytical abilities, with an enquiring mind., • Robust, capable of clearly and strongly articulating position. Desirable, • Hands‑on experience with Microsoft Fabric., • Advance development experience, most notably with programming languages such as python., • Power BI model development and semantic modelling., • API setup/testing experience (e.g., Postman)., • Experience with cloud platforms and modern data architectures., • Experience within financial services or regulated environments., • Advanced Excel skills. Education:, • Bachelor’s degree in Computer Science, Information Systems, STEM, or related field., • Certifications in Python, PySpark, or cloud technologies are desirable but not essential. Please note: This is a full-time, fixed term contract with an opportunity to work in a hybrid working model within our Finance Transformation team based in our London office. What you get in return: This role offers a competitive salary, plus a benefits package including private medical health insurance. Interested? If the role sounds like you, we invite you to upload a copy of your CV and can do this by clicking on the Apply Now button For company news, announcements and market insights, visit our . You can also find Moneycorp on , , , , , where you can discover how we are leading the way in global payments and currency risk management. Diversity and Inclusion Moneycorp is proud to be an Equal Opportunity employer. Across our Group, Moneycorp maintains a philosophy that an inclusive company culture inspires creativity, fosters a sense of belonging, and is imperative to both personal and professional growth. With a makeup of 47 percent female employees, Moneycorp has a remarkably diverse workforce. Our commitment to inclusion and opportunity continues to evolve and improve as we listen and engage with our diverse teams. All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We hire on the basis of talent, merit, competence, performance, and business needs.

Production & Warehouse Operatives (clean room environment). Due to expansion, we are looking to recruit a number of Production Operatives, Machine Operatives, Warehouse Operatives. There are a number of roles within different departments including production / machine operating, packing, warehou

Production Packaging Operative Wrexham Industrial Estate, Wrexham | £12.80-£13.10 per hour | Days, Nights & Rotating Shifts | Temporary to Permanent | Immediate Starts Available Introduction Acorn by Synergie is recruiting Production Packaging Operatives to join a leading manufacturing company based on Wrexham Industrial Estate. This is an excellent opportunity for candidates with experience as a Production Operative, Packaging Operative, Manufacturing Operative, Factory Operative, Packing Operative, Warehouse Operative, Assembly Operative, Machine Operative, Food Production Operative, or General Operative to join a busy manufacturing environment with long-term opportunities and the potential to secure a permanent position. Working within a fast-paced production and packaging environment, you'll play an important role in the safe and efficient manufacture, packing, labelling, and quality checking of products supplied to businesses across the UK. Key Duties • Operate automated and semi-automated production and packaging lines safely and efficiently., • Pack and label products accurately in line with customer specifications., • Carry out quality inspections and report any product or packaging issues immediately., • Keep production lines supplied with packaging materials and labels., • Support manufacturing processes to ensure production targets are achieved., • Maintain high standards of housekeeping, cleanliness, and health and safety., • Work effectively as part of a production team within a fast-paced manufacturing environment.Requirements, • Previous experience as a Production Operative, Packaging Operative, Manufacturing Operative, Factory Operative, Warehouse Operative, Assembly Operative, Machine Operative, Packing Operative, or similar role is preferred., • Ability to work 12-hour shifts., • Good attention to detail and ability to follow production processes., • Reliable with a positive, team-focused attitude., • Ability to work efficiently in a busy manufacturing and production environment.What We Offer, • Day shift rate: £12.80 per hour (6am-6pm)., • Night shift rate: £13.10 per hour (6pm-6am)., • Rotating shift rate: £13.10 per hour., • Fixed 4 on / 4 off shift pattern or ad-hoc day and night shifts available., • Temporary-to-permanent opportunity., • Long-term employment - this is not a seasonal role., • Access to Acorn by Synergie's Rewards Scheme, including discounts, vouchers, competitions, and wellbeing support.Interested? If you're an experienced Production Operative, Packaging Operative, Manufacturing Operative, Factory Operative, Warehouse Operative, Assembly Operative, Machine Operative, Packing Operative, or General Operative looking for your next opportunity in Wrexham, apply online today. This is a fantastic opportunity to join a growing manufacturing business with genuine long-term career prospects.

Join Our Facilities Team – School Cleaner.Are you someone who takes pride in creating safe, welcoming spaces for others? Do you want to be part of a supportive, professional team that helps schools thrive? If so, we’d love to hear from you.We’re looking for a motivated and reliable Cleaner to

Cleaner (2) (Permanent) (15/5057) (15/5188).Join our award-winning school cleaning team.We’re proud of our award-winning service, recognised with:.ASSIST-FM Contribution to Cleaning Award - 2022.APSE Building Cleaning Innovation Award - 2023.Building Cleaning Most Improved Performance Networks Awa

The salary advertised is full time (35 hours per week, 52 weeks per year).Part-time hours / sessional posts will be pro-rated accordingly.This is a 52-week non-sessional post i.To assist in the provision of a high quality cleaning service within Council buildings.Please download the Job Outline/Pers

Bannatyne is renowned for providing exceptional fitness and wellness experiences across the UK.We are committed to maintaining the highest standards of cleanliness and hygiene to ensure our members have a safe and welcoming environment.We are currently looking for a dedicated and detail-oriented Mem

General Practitioner (GP) Salaried.Presteigne Medical Practice, Presteigne, Powys.Permanent, Several working patterns available.This one gives you the time to be the GP you trained to be.Imagine working somewhere you have the time to really know your patients.Where continuity of care still matters.W

Supporting general warehouse and logistics activities. Previous warehouse experience is beneficial but not essential.

Join Northwood at our newest site in Flint, Wales, and play a key role in growth and success!!.We are in the embryonic stages of commencing activity, therefore we require your flexibility to work across all areas as reasonably required.Initially this role will focus on parent reel storage and finish

We depend on Production Operatives to efficiently run our various production processes and make best use of our huge investment in plant and machinery. Key Responsibilities of the Trainee/Skilled Production Operatives. Our production standards are high and our customers demand the best.

HRGO Recruitment is recruiting for a Forklift Truck (FLT) driver / warehouse operative on behalf of a well-established manufacturing business based in Deeside. You'll play a key role in ensuring materials are received, stored, and supplied to production safely and efficiently while maintaining high

HRGO are recruiting for a Production Operative for our client in Wrexham. Working as part of our production team, you'll help manufacture and prepare chemical products ready for our customers. Manufacturing chemical blends by accurately following batch sheets and production instructions.

This is a temporary role and the rate is £12.The reference number is: 462710.The successful candidate will provide a cleaning service that meets our contractual commitments to include but not limited to tasks such as vacuuming, dusting, emptying bins, the polishing of surfaces, mopping of areas req

Cleaner Location: Wrexham Hours: 6:00am - 8:00am, Monday to Friday Pay Rate: £12.Paid Weekly Job Description: We are seeking a reliable and hardworking Cleaner to join our team.This role involves maintaining cleanliness and hygiene in a large public building, including corridors, side roo

Food Production Operatives – Immediate Starts Available. Assembling and packaging food products on the production line. Carrying out quality checks to maintain high production standards.

JDR Recruitment are recruiting for Cleaners to work at a nuclear plant in Birchwood WA3.Carry out cleaning duties in offices, controlled areas, restrooms, plant facilities, and other designated zones.Ensure all work complies with site-specific nuclear safety protocols and procedures.Use approved cle

Carry out general warehouse duties and stock handling.

Key Responsibilities Operate manufacturing machinery for masterbatch production Prepare raw materials, weigh ingredients, and follow production formulas Monitor production lines and carry out routine checks Complete batch records and maintain accurate documentation * Perform basic

Overtime opportunities available 33 Days Holiday Similar Job Tittles / Skills: Production Operator, Production, General Operator, Warehouse Operator, Warehouse, Yard Operator, Process Operator To Apply Travail Employment Group is operating as an Employment Business. Responsibilities of a Producti

This is a full-time role working rotating shifts, and the hours of work are: - 6am to 6pm - 6pm to 6am Your Time at Work As a Food Production Operative, your duties will include: - Packing products into trays - Erecting trays - Working in a chilled environment - Working as part of a tea

Manufacture and pack food items in a health and safety conscious environment; to meet production and dispatch targets.

Role for Production Operative:. Benefits for Production Operative:. Production Operative - Wrexham.

Job Title: Warehouse Operative. Our client is a rapidly growing IT asset management company with a strong focus on sustainable technology and exciting plans for growth, they are seeking a motivated Warehouse Operative to join their dynamic team. This role covers a variety of warehouse tasks.

As an Aldi Store Cleaner, youll be key to keeping our store clean, safe, and welcoming.Your duties cover everything from clearing litter around the store to cleaning windows and ensuring trolleys are tidy and ready for customers.Youll work as part of a team proud to maintain Aldis high standards eve

Working as part of a team to meet daily production targets. Previous experience in a production or manufacturing environment preferred. This role involves working within a busy manufacturing environment, supporting the production of high-quality textile products.

Monday to Thursday, 6:00am – 4:15pm (Fridays Off) Role Overview A local business on Wrexham Industrial Estate is looking for Production Line Operatives to join its manufacturing team. You will work in a fast-paced production environment, helping to produce high-quality finished products whil

Male and Female positions available).Bannatyne is renowned for providing exceptional fitness and wellness experiences across the UK.We are committed to maintaining the highest standards of cleanliness and hygiene to ensure our members have a safe and welcoming environment.We are currently looking fo

As a Production Operative, you will be responsible for the coating of lenses within a busy manufacturing environment. The Production Operative role involves 20% machine operation and 80% manual tasks, including detailed inspection work to ensure high-quality output. Ability to follow instructions an

Bannatyne is renowned for providing exceptional fitness and wellness experiences across the UK.We are committed to maintaining the highest standards of cleanliness and hygiene to ensure our members have a safe and welcoming environment.We are currently looking for a dedicated and detail-oriented Mem

Benefits: Staff areas Car Park Communal areas The job role? Clearing a warehouse environment, sweeping and mopping floors and emptying the waste Cleaning toilets, staff room areas and back of store Using the floor machines to keep the floor clean and free of debris. General clean

Cleaners Required Job Type: Contract Start date: Immediate Location: Broughton Salary: £13.JOB DESCRIPTION: Cleaners required for an immediate start in Broughton.Our client is looking for experienced, fast paced, and hardworking cleaners to join the team.This is initially a contract role

Working as part of a busy production team to meet daily targets. Requirements: Previous experience in assembly, manufacturing or production Soldering experience is advantageous * Good attention to detail and a commitment to producing high-quality work. Flexibility to support production

Warehouse Op, FLT Driver, Fork Lift Truck Driver, Store Man, Stores Person, General Operative.

Warehouse Operative Nightshift (Counterbalance FLT). Working as part of a busy warehouse team, your responsibilities will include:.

The successful Warehouse Operative will work across both warehouse and production departments to support day-to-day operations. Happy undertaking all aspects of warehouse and production work. Previous production experience.

Staffline is recruiting Food Production Operatives in. The responsibilities of a Food Production Operative, your duties will include:. Packing products from the production line.