Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

Model Development: Build and iterate on models for content extraction and classification.
End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

Azure Machine Learning: Proven experience within the Azure ecosystem.
Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.Frameworks & Tools:

ML/DL: TensorFlow, PyTorch, or Hugging Face.
Processing: OpenCV, Spacy, Regex, and OCR technologies.
DevOps/Security: Experience delivering secure, resilient code and managing APIs.Nice to Have:

Knowledge of PostgreSQL for data management.
Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy

Role Title: Lead Data Engineering Consultant

Duration: contract to run until 21/11/2026

Location: Sheffield, Hybrid 3 days per week onsite

Rate: up to £423.78 p/d Umbrella inside IR35

Role purpose / summary

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms.

The ideal candidate will possess hands-on expertise in the following areas:

Extensive enterprise experience with Hadoop, Spark, and Splunk.
Proficiency in object-oriented and functional scripting, particularly in Python.
Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
Experience integrating large, disparate datasets using modern tools and frameworks.
Strong background in building and optimizing ETL/ELT data pipelines.
Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
Ability to pair program and work effectively with other engineers.
Excellent analytical and problem-solving abilities.
Knowledge of agile methodologies such as Scrum or Kanban is a plus.
Comfortable representing the team in standups and problem-solving sessions.
Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.

Soft Skills (Consultant):

Demonstrated ability and enthusiasm for enhancing team performance.
Strong active listening and effective communication skills.
Self-mastery, with a focus on positive mindsets and professional behaviours.
Maintains up-to-date expertise in current tools, technologies, and key areas such as cybersecurity, data privacy, consent, and data residency regulations.
Engages with industry groups and external vendors to represent and advance the client’s interests and influence.
Takes accountability for ensuring control and compliance throughout the engineering process.
Champions innovation and the adoption of advanced technologies and best practices within the domain.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply

Data Engineer (Contract)
9+ Month Contract based in Sheffield
£395 - £442 per day InsideIR35
BPSS clearance required - candidates must be eligible

My client is seeking a Data Engineer to design and operate large-scale telemetry and observability data pipelines within a modern OpenShift and Kafka ecosystem. This role is central to enabling proactive, Level 4 observability, delivering high-quality metrics, logs, and traces to support platform reliability, operational insight, and automation.

Responsibilities:

* Design, implement and maintain scalable data pipelines to ingest and process
OpenShift telemetry (metrics, logs, traces)
* Stream telemetry through Kafka (producers, topics, schemas) and build resilient
consumer services for enrichment and transformation
* Engineer multi-tenant observability data models, ensuring data lineage, quality
controls and SLAs across streaming layers
* Integrate processed telemetry into Splunk for dashboards, analytics, alerting and
operational insights
* Implement schema management and governance using Avro/Protobuf, including versioning
and compatibility strategies
* Build automated validation, replay and backfill mechanisms to ensure data
reliability and recovery
* Instrument services using OpenTelemetry, standardising tracing, metrics and
structured logging
* Apply LLMs to enhance observability, such as query assistance, anomaly summarisation
and runbook generation
* Collaborate with Platform, SRE and Application teams to align telemetry, alerts and
SLOs
* Ensure pipelines meet security, compliance and best-practice standards
* Produce clear documentation covering data flows, schemas, dashboards and operational
runbooks

Skills & Experience:
* Strong hands-on experience building streaming data pipelines with Kafka
(producers/consumers, schema registry, Kafka Connect, KSQL/KStreams)
* Experience with OpenShift / Kubernetes telemetry, including OpenTelemetry and
Prometheus
* Proven capability integrating telemetry into Splunk
(HEC, Universal Forwarders, sourcetypes, CIM, dashboards, alerting)
* Solid data engineering skills in Python (or similar) for ETL/ELT, enrichment and
validation

Please apply for immediate interview!

CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds

Job Description

Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you’re working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub.

You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you’ll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers.

Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back. “Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Role Title: Lead Data Engineering Consultant

Duration: contract to run until 21/11/2026

Location: Sheffield, Hybrid 3 days per week onsite

Rate: up to 423.78 p/d Umbrella inside IR35

Role purpose / summary

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms.

The ideal candidate will possess hands-on expertise in the following areas:

• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Proficiency in object-oriented and functional scripting, particularly in Python.
• Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
• Experience integrating large, disparate datasets using modern tools and frameworks.
• Strong background in building and optimizing ETL/ELT data pipelines.
• Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
• Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
• Ability to pair program and work effectively with other engineers.
• Excellent analytical and problem-solving abilities.
• Knowledge of agile methodologies such as Scrum or Kanban is a plus.
• Comfortable representing the team in standups and problem-solving sessions.
• Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
• Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
• Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.

Soft Skills (Consultant):

• Demonstrated ability and enthusiasm for enhancing team performance.
• Strong active listening and effective communication skills.
• Self-mastery, with a focus on positive mindsets and professional behaviours.
• Maintains up-to-date expertise in current tools, technologies, and key areas such as cybersecurity, data privacy, consent, and data residency regulations.
• Engages with industry groups and external vendors to represent and advance the client’s interests and influence.
• Takes accountability for ensuring control and compliance throughout the engineering process.
• Champions innovation and the adoption of advanced technologies and best practices within the domain.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Data Engineer (Contract) 9+ Month Contract based in Sheffield £395 - £442 per day InsideIR35 BPSS clearance required - candidates must be eligible My client is seeking a Data Engineer to design and operate large-scale telemetry and observability data pipelines within a modern OpenShift and Kafka ecosystem. This role is central to enabling proactive, Level 4 observability, delivering high-quality metrics, logs, and traces to support platform reliability, operational insight, and automation. Responsibilities: * Design, implement and maintain scalable data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) * Stream telemetry through Kafka (producers, topics, schemas) and build resilient consumer services for enrichment and transformation * Engineer multi-tenant observability data models, ensuring data lineage, quality controls and SLAs across streaming layers * Integrate processed telemetry into Splunk for dashboards, analytics, alerting and operational insights * Implement schema management and governance using Avro/Protobuf, including versioning and compatibility strategies * Build automated validation, replay and backfill mechanisms to ensure data reliability and recovery * Instrument services using OpenTelemetry, standardising tracing, metrics and structured logging * Apply LLMs to enhance observability, such as query assistance, anomaly summarisation and runbook generation * Collaborate with Platform, SRE and Application teams to align telemetry, alerts and SLOs * Ensure pipelines meet security, compliance and best-practice standards * Produce clear documentation covering data flows, schemas, dashboards and operational runbooks Skills & Experience: * Strong hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect, KSQL/KStreams) * Experience with OpenShift / Kubernetes telemetry, including OpenTelemetry and Prometheus * Proven capability integrating telemetry into Splunk (HEC, Universal Forwarders, sourcetypes, CIM, dashboards, alerting) * Solid data engineering skills in Python (or similar) for ETL/ELT, enrichment and validation Please apply for immediate interview! CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds

Your new company Working for a globally renowned bank. Your new role Lead the design, planning and execution of OpenShift architecture and migration strategies. This includes designing scalable, secure and resilient OpenShift platforms and planning migrations from existing infrastructure. Expertise with VMware and Pure Storage is essential. What you’ll need to succeed Strong experience delivering OpenShift architectures and migration programmes. Deep knowledge of Kubernetes, containerisation and orchestration. Hands-on VMware experience (vSphere, vCenter, NSX). Experience with Pure Storage products (FlashArray, FlashBlade). Expertise in networking, persistent storage and cluster operations. Strong CI/CD experience (Jenkins, GitHub, ArgoCD). Proficiency in automation/scripting (Bash, Python, Ansible, Terraform). Strong communication and problem‑solving skilWhat you’ll get in return Flexible working options available. What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Skills: OCP, Ansible, IaC

We are seeking an experienced OpenShift Architecture and Migration Design Specialist to lead the design, planning, and execution of OpenShift architectures and migration strategies. The ideal candidate will have expertise in designing robust, scalable, and secure OpenShift environments, as well as creating and implementing migration plans for transitioning workloads and applications to OpenShift. Experience with VMware and Pure Storage is essential to ensure seamless integration with existing infrastructure.________________________________________Key Responsibilities:1.Architecture Design:oDesign the target architecture for OpenShift, including cluster topology, networking, and storage solutions.oDefine and implement best practices for OpenShift cluster setup, including multi-zone and multi-region deployments.oEnsure the architecture supports high availability, fault tolerance, and disaster recovery.2.Migration Design and Optimization:oAssess existing infrastructure, applications, and workloads to determine migration readiness.oDevelop detailed migration plans, including strategies for containerization, workload transfer, and data migration.oImplement migration processes, ensuring minimal downtime and disruption to business operations.oIdentify and mitigate risks associated with the migration process.3.VMware and Pure Storage Integration design:oDesign and implement OpenShift solutions that integrate seamlessly with VMware virtualized environments.oLeverage VMware tools (e.g., vSphere, vCenter, NSX) to optimize OpenShift deployments.oConfigure and manage Pure Storage solutions (e.g., FlashArray, FlashBlade) to provide high-performance, scalable storage for OpenShift workloads.oEnsure compatibility and performance optimization between OpenShift, VMware, and Pure Storage.4.CI/CD Pipelines and DevOps Workflows:oDesign and implement CI/CD pipelines tailored for the OpenShift environment.oIntegrate DevOps workflows with OpenShift-native tools and third-party solutions.oAutomate deployment, scaling, and monitoring processes to streamline application delivery.5.Scalability and Security:oEnsure the architecture and migration plans are scalable to meet future growth and workload demands.oImplement security best practices, including role-based access control (RBAC), network policies, and encryption.oConduct regular security assessments and audits to maintain compliance with organizational standards.6.Collaboration and Documentation:oWork closely with development, DevOps, and operations teams to align architecture and migration plans with business needs.oProvide detailed documentation of the architecture, migration strategies, workflows, and configurations.oOffer technical guidance and training to teams on OpenShift architecture, migration, and best practices.________________________________________Required Skills and Qualifications:Strong experience in designing and implementing OpenShift architectures and migration strategies.In-depth knowledge of Kubernetes, containerization, and orchestration.Expertise in VMware tools and technologies (e.g., vSphere, vCenter, NSX).Hands-on experience with Pure Storage solutions (e.g., FlashArray, FlashBlade).Expertise in networking concepts (e.g., ingress, load balancing, DNS) and storage solutions (e.g., persistent volumes, dynamic provisioning).Hands-on experience with CI/CD tools (e.g., Jenkins, Github, ArgoCD) and DevOps workflows.Strong understanding of high availability, scalability, and security principles in cloud-native environments.Proven experience in workload and application migration to OpenShift or similar platforms.Proficiency in scripting and automation (e.g., Bash, Python, Ansible, Terraform).Excellent problem-solving and communication skills.________________________________________Preferred Qualifications:OpenShift certifications (e.g., Red Hat Certified Specialist in OpenShift Administration).Experience with multi-cluster and hybrid cloud OpenShift deployments.Familiarity with monitoring and logging tools (e.g., oTel, Grafana, Splunk stack).Knowledge of OpenShift Operators and Helm charts.Experience with large-scale migration projects.

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas:

Extensive enterprise experience with Hadoop, Spark , and Splunk.

Proficiency in object-oriented and functional scripting, particularly in Python .

Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).

Experience integrating large, disparate datasets using modern tools and frameworks.

Strong background in building and optimizing ETL/ELT data pipelines .

Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.

Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.

Ability to pair program and work effectively with other engineers.

Excellent analytical and problem-solving abilities.

Knowledge of agile methodologies such as Scrum or Kanban is a plus.

Comfortable representing the team in standups and problem-solving sessions.

Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.

Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.

Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.

TPBN1_UKTJ

Job Title: Lead Data Engineer - Hadoop, Spark, Pytthon
Location: Sheffield - 3 days per week in the office
Salary/Rate: Up to 617 per day inside IR35
Start Date: 02/03/2026
Job Type: Contract until November

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms.

The ideal candidate will possess hands-on expertise in the following areas:

• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Proficiency in object-oriented and functional scripting, particularly in Python.
• Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
• Experience integrating large, disparate datasets using modern tools and frameworks.
• Strong background in building and optimizing ETL/ELT data pipelines.
• Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
• Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
• Ability to pair program and work effectively with other engineers.
• Excellent analytical and problem-solving abilities.
• Knowledge of agile methodologies such as Scrum or Kanban is a plus.
• Comfortable representing the team in standups and problem-solving sessions.
• Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
• Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
• Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Role: Lead Data Engineer - Azure/Databricks

Location: Sheffield

Working Model: Hybrid - 2 days per week in person

Salary: Up to £85k depending on experience

Own the data platform. Shape the future architecture.

This role is for a hands-on data engineering leader who wants to build something properly, not babysit legacy pipelines.

Youll take full ownership of the data engineering domain, leading the design and building of a modern, highly scalable data platform that handles complex, high-frequency industrial data. Youll work closely with data scientists, software engineers, and senior leadership, with the trust and mandate to make meaningful architectural decisions.

If you enjoy balancing strong engineering principles with real-world business needs, and you like mentoring others while staying deeply technical, this role is built for you.

What youll be working on

• Architecting and rebuilding the data transformation layer in Databricks
• Designing robust data flows that support both real-time operational views and deep historical analysis
• Moving pipelines from ad-hoc scripts to software-engineering standards(CI/CD, testing, modular design)
• Defining clear data models, schemas, and standards across a complex data estate
• Establishing a stable, high-performance serving layer for analytics, visualisation, and data science workloads
• Working closely with data scientists to remove bottlenecks and enable better modelling and experimentation
• Pair-programming, mentoring, and raising the engineering bar for a small, capable team

You wont just be delivering features; youll be setting direction.

The tech youll work with

• Core:Azure, Databricks, Python, SQL, dbt, MQTT
• Storage & Serving:Delta Lake, Postgres, TimescaleDB
• Modelling & ML:MLflow
• Visualisation:Grafana

What makes you a great fit

Youre someone who can zoom out to architecture and zoom in to code, comfortably.

• Proven experience building and owning data platforms on Azure
• Deep, hands-on knowledge of Databricks(lakehouse architecture, cluster management, performance and cost optimisation)
• Strong opinions on data modelling, schema design, and standardisation
• You treat data pipelines as software: version control, CI/CD, automated testing
• Comfortable challenging architectural decisions, and explaining why
• Able to translate technical trade-offs into business impact for non-technical stakeholders
• A mentor by nature: you raise the team through pairing, guidance, and example

Industry experience

• Experience with industrial, sensor-driven, or time-series data is highly desirable
• Alternatively, background in high-volume or highly variable data environments (missing data, duplicates, schema drift, spiky load) will transfer well

Why youll want this role

• Real autonomy:Youre trusted to make architectural calls, thats why youre being hired
• Visible impact:Your work directly unlocks better analytics and machine learning outcomes
• Modern problems:Youll work on advanced data patterns and architectures, not cosmetic refactors
• Still technical:This is a leadership role without stepping away from code

What youll get

• 5 weeks paid holiday plus bank holidays
• Tax-efficient stock options
• Company pension scheme
• Salary sacrifice EV scheme
• Training and professional development support
• Regular all-hands sessions with real transparency
• Hybrid working (2 days in person)
• Quarterly employee recognition awards
• Access to discounts via BrightHR

We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

Position: Electronic Engineer
Location: Chesterfield

The Role
An exciting opportunity has arisen for an Electronic Engineer to join an established and growing business based in Chesterfield. Our client designs, develops, and manufactures a range of electronic devices used across the UK and Europe.

This position is suited to an Electronic Engineer with a relevant degree qualification and demonstrable industry experience in a similar role. You will be involved in the full development of electronic products, working across electronics design including PCB design, mixed-signal circuits, embedded programming in C, and microcontroller-based systems.

You will work as part of a small, offering significant variety in your day-to-day responsibilities and the opportunity to work closely with a small design team. This role will suit someone with strong attention to detail who thrives in a dynamic, fast-paced, product development environment.

Essential Skills & Experience

• Relevant degree in Electronic Engineering or similar discipline
• Industry experience within an electronics design environment
• Strong understanding of communication protocols, including SPI, UART, and IC
• Proficient in PCB layout and schematic design using Altium Designer
• Embedded C programming
• Hands-on hardware-level experience with STM32 and ESP32 microcontrollers
• Experience with circuit prototyping, testing, and debugging
• Skilled in the use of test equipment such as multimeters and oscilloscopes
• Familiarity with manufacturing techniques, design for manufacture (DFM), and EMC compliance requirements

Desirable Experience

• Mechanical design experience, ideally using SolidWorks
• Design experience for injection moulding / vacuum forming
• Experience working with Zigbee RF modules
• Writing applications for Raspberry Pi using Python
• Design experience with high-power LED devices and constant current circuits

Personal Attributes

• Strong analytical skills with the ability to identify trends and issues
• Excellent time management skills and the ability to meet strict deadlines
• Enthusiastic, highly self-motivated, and proactive
• Logical yet creative mindset with a desire to innovate, learn, and develop
• Excellent troubleshooting and problem-solving abilities

If you are keen to build your career within a new product development-focused business that is a leader in its industry, please contact Laurence Powell at KO2 Embedded Recruitment Solutions for further details.

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Role: Lead Data Engineer - Azure/Databricks

Location: Sheffield

Working Model: Hybrid - 2 days per week in person

Salary: Up to £85k depending on experience

Own the data platform. Shape the future architecture.

This role is for a hands-on data engineering leader who wants to build something properly, not babysit legacy pipelines.

Youll take full ownership of the data engineering domain, leading the design and building of a modern, highly scalable data platform that handles complex, high-frequency industrial data. Youll work closely with data scientists, software engineers, and senior leadership, with the trust and mandate to make meaningful architectural decisions.

If you enjoy balancing strong engineering principles with real-world business needs, and you like mentoring others while staying deeply technical, this role is built for you.

What youll be working on

Architecting and rebuilding the data transformation layer in Databricks

Designing robust data flows that support both real-time operational views and deep historical analysis

Moving pipelines from ad-hoc scripts to software-engineering standards(CI/CD, testing, modular design)

Defining clear data models, schemas, and standards across a complex data estate

Establishing a stable, high-performance serving layer for analytics, visualisation, and data science workloads

Working closely with data scientists to remove bottlenecks and enable better modelling and experimentation

Pair-programming, mentoring, and raising the engineering bar for a small, capable team

You wont just be delivering features; youll be setting direction.

The tech youll work with

Core:Azure, Databricks, Python, SQL, dbt, MQTT

Storage & Serving:Delta Lake, Postgres, TimescaleDB

Modelling & ML:MLflow

Visualisation:Grafana

What makes you a great fit

Youre someone who can zoom out to architecture and zoom in to code, comfortably.

Proven experience building and owning data platforms on Azure

Deep, hands-on knowledge of Databricks(lakehouse architecture, cluster management, performance and cost optimisation)

Strong opinions on data modelling, schema design, and standardisation

You treat data pipelines as software: version control, CI/CD, automated testing

Comfortable challenging architectural decisions, and explaining why

Able to translate technical trade-offs into business impact for non-technical stakeholders

A mentor by nature: you raise the team through pairing, guidance, and example

Industry experience

Experience with industrial, sensor-driven, or time-series data is highly desirable

Alternatively, background in high-volume or highly variable data environments (missing data, duplicates, schema drift, spiky load) will transfer well

Why youll want this role

Real autonomy:Youre trusted to make architectural calls, thats why youre being hired

Visible impact:Your work directly unlocks better analytics and machine learning outcomes

Modern problems:Youll work on advanced data patterns and architectures, not cosmetic refactors

Still technical:This is a leadership role without stepping away from code

What youll get

5 weeks paid holiday plus bank holidays

Tax-efficient stock options

Company pension scheme

Salary sacrifice EV scheme

Training and professional development support

Regular all-hands sessions with real transparency

Hybrid working (2 days in person)

Quarterly employee recognition awards

Access to discounts via BrightHR

We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

TPBN1_UKTJ

PLC Controls Engineer (UK & International Travel)

Salary: £30,000 to £45,000 basic + overtime (up to 20%)
OTE: £50,000 to £60,000
Location: UK based with international travel
Hours: 40 hours per week

We are recruiting on behalf of a growing engineering business looking to appoint a PLC Controls Engineer to support UK and international projects across multiple regions.

This is an excellent opportunity for an engineer who enjoys travel, variety, and working on technically challenging projects worldwide.

The Role

The successful candidate will be involved in the full lifecycle of automation projects, including:

• UK and international travel (minimum 3 months per year, up to 6 months)
• PLC programming, primarily using Siemens systems
• Project management and client-facing project delivery
• Testing and commissioning of systems
• Software and language programming such as Python, C++, or similar
• Working on projects across America, India, the Middle East, and parts of Africa

Experience, Skills & Qualifications

• Background in controls, automation, or PLC engineering
• Experience with Siemens PLCs preferred
• Willingness to travel internationally for extended periods
• Open to engineers from various industry backgrounds (heavy industry ideal but not essential)
• Training available for engineers who need development in certain areas
• Suitable for both experienced engineers and junior engineers looking to progress

Training & Progression

• Full training and support provided
• Clear progression opportunities within the engineering team

Package & Benefits

• £30,000 to £45,000 basic salary DOE
• Overtime paid up to 20% on basic
• Company van, fuel card, phone and laptop
• Pension scheme

If interested please apply for a confidental chat you can email me on

I am currently working with a global consultancy who are actively seeking a Python Developer to join a long-term project for a client in the financial services space.

What you’ll need to succeed:

• Strong Python Development experience, ideally within financial services or a highly regulated environment.
• Good experience with FastAPI.
• Strong problem-solving, debugging, and analytical abilities.
• Strong experience with PostgreSQL, Prometheus, Grafana, and OpenTelemetry.
• Strong experience building and integrating APIs for database management and automated workflows.
• Good Docker and Kubernetes experience.
• MUST BE able to commute into the Sheffield office 2-3 times per week.

What you’ll get in return:

• In-scope day-rate dependent on relevant experience.
• Sheffield-based hybrid working.
• Initial 9-month contract with extensions.

What you need to do now:
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Data Engineer (Contract)
9+ Month Contract based in Sheffield
395 - 442 per day InsideIR35
BPSS clearance required - candidates must be eligible

My client is seeking a Data Engineer to design and operate large-scale telemetry and observability data pipelines within a modern OpenShift and Kafka ecosystem. This role is central to enabling proactive, Level 4 observability, delivering high-quality metrics, logs, and traces to support platform reliability, operational insight, and automation.

Responsibilities:

Design, implement and maintain scalable data pipelines to ingest and process
OpenShift telemetry (metrics, logs, traces)
Stream telemetry through Kafka (producers, topics, schemas) and build resilient
consumer services for enrichment and transformation
Engineer multi-tenant observability data models, ensuring data lineage, quality
controls and SLAs across streaming layers
Integrate processed telemetry into Splunk for dashboards, analytics, alerting and
operational insights
Implement schema management and governance using Avro/Protobuf, including versioning
and compatibility strategies
Build automated validation, replay and backfill mechanisms to ensure data
reliability and recovery
Instrument services using OpenTelemetry, standardising tracing, metrics and
structured logging
Apply LLMs to enhance observability, such as query assistance, anomaly summarisation
and runbook generation
Collaborate with Platform, SRE and Application teams to align telemetry, alerts and
SLOs
Ensure pipelines meet security, compliance and best-practice standards
Produce clear documentation covering data flows, schemas, dashboards and operational
runbooks

Skills & Experience:
Strong hands-on experience building streaming data pipelines with Kafka
(producers/consumers, schema registry, Kafka Connect, KSQL/KStreams)
Experience with OpenShift / Kubernetes telemetry, including OpenTelemetry and
Prometheus
Proven capability integrating telemetry into Splunk
(HEC, Universal Forwarders, sourcetypes, CIM, dashboards, alerting)
Solid data engineering skills in Python (or similar) for ETL/ELT, enrichment and
validation

Please apply for immediate interview!

CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.

Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of 50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - 30,000
• Data Analyst - 50,000
• Business Data Analyst - 67,500
• Data Analytics Analyst - 80,000
• Business Analysts - 60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Senior Automation Storage Specialist Contract
Duration - 11 months
Rate - 400 - 430 per day InsideIR35
Location - Sheffield with Hybrid working with 3 days in the office

We are seeking a Senior Automation Storage Specialist to provide technical leadership across enterprise-scale storage automation. This role sits at the intersection of storage technology, automation, testing, and observability, with close alignment to OpenShift platform engineering.

You will shape strategy, define standards, and build reusable automation patterns that are adopted across the bank, while mentoring engineers and driving best practices in GitOps and Infrastructure as Code (IaC).

Responsibilities:
Define and own the storage automation roadmap, standards, and reusable patterns.
Provide governance over automation modules, code quality, security, and compliance.
Act as a technical authority, reviewing designs and guiding engineering teams.
Drive adoption of GitOps, IaC, and modern automation practices.
Own observability KPIs, ensuring continuous improvement of automation SLAs.
Collaborate with platform, security, and infrastructure stakeholders across the
organisation.

Skills & Experience:
Expert-level experience with Ansible, Python, and Terraform.
Strong background in CI/CD integration and secrets management.
Broad hands-on knowledge of SAN, NAS, DPS, and Pure Storage technologies.
Proven ability to lead technically, mentor engineers, and influence stakeholders.
Experience operating at SME level within large, complex enterprise environments.
Experience working within OpenShift or Kubernetes-aligned platform teams.
Strong focus on automation testing, reliability, and observability.

Please apply for immediate interview!

CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.

Location: Sheffield (Hybrid - 3 days per week onsite)

Salary: 50,000- 60,000 depending on experience

DCS Tech are searching for an experienced Data Engineer to join our clients growing team! You will play a crucial part in designing, building, and optimising the data infrastructure that underpins the organisation.

Key responsibilities

• Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools.
• Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment.
• Build and maintain robust data models to ensure accuracy, consistency, and accessibility across the organisation.
• Work closely with Data Analysts, Data Scientists, and business stakeholders to translate data requirements into effective technical solutions.
• Optimise data systems to deliver fast and accurate insights supporting dashboards, KPIs, and reporting frameworks.
• Implement monitoring, validation, and quality checks to ensure high levels of data accuracy and trust.
• Support compliance with relevant data standards and regulations, including GDPR.
• Maintain strong data security practices relating to access, encryption, and storage.
• Research and recommend new tools, technologies, and processes to improve performance, scalability, and efficiency.
• Contribute to migrations and modernisation projects across cloud and data platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks).
• Create and maintain documentation aligned with internal processes and change management controls.

Experience & Technical Skills

• Proven hands-on experience as a Data Engineer or in a similar data-centric role.
• Strong proficiency in SQL and Python.
• Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern data tools such as Snowflake, Databricks, or BigQuery.
• Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage.
• Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform.

What you get in return:

• Up to 60,000 per annum + benefits
• Hybrid working (3 in office)
• Opportunity to lead and mentor within a growing team!
• Professional development and training support

This company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Interested?

Please submit your CV to Meg Kewley at DCS Recruitment via the link provided.

Alternatively, email me at or call (phone number removed).

DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality