Job Title: Technical Solutions Architect

Job Type: Full-Time

Job Location: London(Hybrid)

Responsibilities:

• Provide technical enablement and architectural guidance to channel partners and Arrow sales teams in the development of integrated networking solutions centered on Juniper Networks and Aruba technologies.
• Assist channel partners in demand generation activities including workshops, assessments, technical events, webinars, demonstrations, and proof-of-concept engagements that generate qualified opportunities and expand pipeline.
• Qualify networking opportunities by understanding customer business objectives, technical requirements, competitive landscape, budget considerations, and decision-making processes.
• Lead technical sales engagements focused on discovery, architecture design, demonstrations, solution validation, and technical strategy to accelerate opportunity progression and closure.
• Design and recommend enterprise networking solutions spanning wired access, wireless infrastructure, routing, switching, SD-WAN, network automation, cloud-managed networking, network security, and AI-driven operations.

Job Title: Solutions Architect

Job Type: Full-Time

Job Location: Manchester(Onsite)

Responsibilities:

• Analyzes information from various sources both external and internal to identify options, make fact based recommendations, and resolve conflicts in the architecture.
• Develops and maintains measures to ensure architecture objectives are met.
• Leads cross-functional groups of architects and others to establish the architecture.
• Sets architecture direction for and leads implementation of IT Programs.
• Consults with business and IT teams on the application of information technology to achieve desired business outcomes.
• Mentors and coaches others to enhance leadership and architecture skills.
• Drives the maturity and effectiveness of the Enterprise Architecture capability.

Job Title: Embedded AI Engineer

Job duration: 12+ Months

Job Location: London(Remote Initially)

Job Type: Contract

Responsibilities:

• Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators.
• Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints.
• Tune model performance for latency, energy efficiency, and memory footprint on target hardware.
• Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML.
• Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs.

Job Title:Artificial Intelligence Engineer
Job Location: Leeds (Remote)
Job Duration: 12+ months
Job Type: Contract

Responsibilities

• Model Development & Training: Build, train, test, and evaluate machine learning, deep learning, or foundational AI models.
• Data Preparation: Clean, structure, and preprocess large datasets required for accurate model training.
• System Integration: Integrate AI capabilities and models into existing applications via APIs and middleware.
• Optimization & Testing: Monitor performance, reduce latency, handle bias testing, and optimize models for accuracy and cost efficiency.
• Collaboration: Work alongside data scientists, software engineers, and product managers to align technical solutions with business goals.

Job Title: Entry-Level SAS Analyst
Job Location: London
Job Duration: 10+ months
Job Type: Contract

Responsibilities

• Develop procedures to full automated the execution, monitoring and issue reporting for all production process.
• Implement procedures to ensure that all UAT and production code migration comply with the established procedures.
• Participate in application security reviews and address all identified issues.
• Participate in project planning sessions with business analyst to analyze the business requirements and outline proposed system solutions.
• Participate in design reviews and provide input to design recommendations, incorporate security requirements into design and provide input to information or data flow and comply with project life cycle methodology in all planning steps.
• Adhere to IT control policies throughout design, development, testing and incorporate corporate architectural standards into application design specification.
• Follow and promote adherence to the organization standard project life cycle to ensure delivery of high quality of software solutions.

Job Title: AI/ML Engineer
Job Location: Winchester
Job Duration: Full-Time
Job Type: Permanent

Responsibilities

• Design, develop, and deploy AI/ML models and ensembles to address complex challenges in domains such as generative AI, classification, prediction, computer vision, NLP, and reinforcement learning.
• Conduct rigorous testing, validation, and performance evaluation of AI/ML models, ensuring robustness, scalability, and ethical considerations in line with best practices.
• Develop and implement pipelines for data preprocessing, feature engineering, and model training using structured and unstructured datasets.
• Leverage cloud computing platforms and frameworks for scalable AI/ML model development, deployment, and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to align AI/ML solutions with organizational objectives and mission requirements.
• Stay current with advancements in AI/ML technologies, frameworks, and tools, incorporating emerging trends into research and development efforts.
• Document research protocols, methodologies, and findings in formats such as technical reports, GitHub repositories, and analytic publications.